From ce522f58d26a0471c075a2a6fbae1625bd90d05f Mon Sep 17 00:00:00 2001 From: Github Actions Date: Tue, 21 Nov 2023 13:50:31 +0000 Subject: [PATCH] Eddie Bergman: fix(RandomForest): Always cast `seed` to `int` (#1084) --- development/.buildinfo | 2 +- ...tion.abstract_acquisition_function.doctree | Bin 28915 -> 29041 bytes .../api/smac.acquisition.function.doctree | Bin 125372 -> 125490 bytes .../api/smac.callback.callback.doctree | Bin 36069 -> 37090 bytes .../.doctrees/api/smac.callback.doctree | Bin 40616 -> 41728 bytes .../smac.callback.metadata_callback.doctree | Bin 10837 -> 10963 bytes .../api/smac.facade.abstract_facade.doctree | Bin 111160 -> 112827 bytes ...ade.algorithm_configuration_facade.doctree | Bin 69181 -> 70395 bytes .../api/smac.facade.blackbox_facade.doctree | Bin 75987 -> 77184 bytes development/.doctrees/api/smac.facade.doctree | Bin 422293 -> 429103 bytes .../api/smac.facade.hyperband_facade.doctree | Bin 28099 -> 28247 bytes 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b/development/_modules/smac/model/random_forest/random_forest.html index 766da0ba76..0bba9dc2ca 100644 --- a/development/_modules/smac/model/random_forest/random_forest.html +++ b/development/_modules/smac/model/random_forest/random_forest.html @@ -1094,7 +1094,9 @@

Source code for smac.model.random_forest.random_forest

self._rf_opts.compute_law_of_total_variance = False self._rf: BinaryForest | None = None self._log_y = log_y - self._rng = regression.default_random_engine(seed) + + # Case to `int` incase we get an `np.integer` type + self._rng = regression.default_random_engine(int(seed)) self._n_trees = n_trees self._n_points_per_tree = n_points_per_tree diff --git a/development/_sources/examples/1_basics/1_quadratic_function.rst.txt b/development/_sources/examples/1_basics/1_quadratic_function.rst.txt index c5b32dd0ec..f5f37c3a22 100644 --- a/development/_sources/examples/1_basics/1_quadratic_function.rst.txt +++ b/development/_sources/examples/1_basics/1_quadratic_function.rst.txt @@ -75,7 +75,7 @@ be applied to problems with large evaluation budgets (up to 1000 evaluations). | -.. code-block:: default +.. code-block:: Python import numpy as np @@ -154,7 +154,7 @@ be applied to problems with large evaluation budgets (up to 1000 evaluations). .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 2.986 seconds) + **Total running time of the script:** (0 minutes 2.398 seconds) .. _sphx_glr_download_examples_1_basics_1_quadratic_function.py: @@ -163,7 +163,6 @@ be applied to problems with large evaluation budgets (up to 1000 evaluations). .. container:: sphx-glr-footer sphx-glr-footer-example - .. container:: binder-badge .. image:: images/binder_badge_logo.svg @@ -171,12 +170,10 @@ be applied to problems with large evaluation budgets (up to 1000 evaluations). :alt: Launch binder :width: 150 px + .. container:: sphx-glr-download sphx-glr-download-jupyter + :download:`Download Jupyter notebook: 1_quadratic_function.ipynb <1_quadratic_function.ipynb>` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: 1_quadratic_function.py <1_quadratic_function.py>` - - .. container:: sphx-glr-download sphx-glr-download-jupyter - - :download:`Download Jupyter notebook: 1_quadratic_function.ipynb <1_quadratic_function.ipynb>` diff --git a/development/_sources/examples/1_basics/2_svm_cv.rst.txt b/development/_sources/examples/1_basics/2_svm_cv.rst.txt index bdb3dc7ba8..a4370b4a2f 100644 --- a/development/_sources/examples/1_basics/2_svm_cv.rst.txt +++ b/development/_sources/examples/1_basics/2_svm_cv.rst.txt @@ -321,83 +321,83 @@ types as well as conditional hyperparameters. /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/numpy/lib/function_base.py:4655: RuntimeWarning: invalid value encountered in subtract diff_b_a = subtract(b, a) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) /home/runner/work/SMAC3/SMAC3/examples/1_basics/2_svm_cv.py:57: DeprecationWarning: `Configuration` act's like a dictionary. Please use `dict(config)` instead of `get_dictionary` if you explicitly need a `dict` config_dict = config.get_dictionary() @@ -883,105 +883,105 @@ types as well as conditional hyperparameters. /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/numpy/lib/function_base.py:4655: RuntimeWarning: invalid value encountered in subtract diff_b_a = subtract(b, a) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) - /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice + /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER) /home/runner/work/SMAC3/SMAC3/examples/1_basics/2_svm_cv.py:57: DeprecationWarning: `Configuration` act's like a dictionary. Please use `dict(config)` instead of `get_dictionary` if you explicitly need a `dict` config_dict = config.get_dictionary() @@ -1240,7 +1240,7 @@ types as well as conditional hyperparameters. | -.. code-block:: default +.. code-block:: Python import numpy as np @@ -1335,7 +1335,7 @@ types as well as conditional hyperparameters. .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 1.017 seconds) + **Total running time of the script:** (0 minutes 0.788 seconds) .. _sphx_glr_download_examples_1_basics_2_svm_cv.py: @@ -1344,7 +1344,6 @@ types as well as conditional hyperparameters. .. container:: sphx-glr-footer sphx-glr-footer-example - .. container:: binder-badge .. image:: images/binder_badge_logo.svg @@ -1352,12 +1351,10 @@ types as well as conditional hyperparameters. :alt: Launch binder :width: 150 px + .. container:: sphx-glr-download sphx-glr-download-jupyter + :download:`Download Jupyter notebook: 2_svm_cv.ipynb <2_svm_cv.ipynb>` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: 2_svm_cv.py <2_svm_cv.py>` - - .. container:: sphx-glr-download sphx-glr-download-jupyter - - :download:`Download Jupyter notebook: 2_svm_cv.ipynb <2_svm_cv.ipynb>` diff --git a/development/_sources/examples/1_basics/3_ask_and_tell.rst.txt b/development/_sources/examples/1_basics/3_ask_and_tell.rst.txt index e0e54c4498..68391e54a9 100644 --- a/development/_sources/examples/1_basics/3_ask_and_tell.rst.txt +++ b/development/_sources/examples/1_basics/3_ask_and_tell.rst.txt @@ -36,21 +36,19 @@ This examples show how to use the Ask-and-Tell interface. [INFO][abstract_intensifier.py:515] Added config 38310a as new incumbent because there are no incumbents yet. [INFO][abstract_intensifier.py:594] Added config a840bc and rejected config 38310a as incumbent because it is not better than the incumbents on 1 instances: [INFO][abstract_intensifier.py:594] Added config e8ddec and rejected config a840bc as incumbent because it is not better than the incumbents on 1 instances: - [INFO][abstract_intensifier.py:594] Added config a9b60d and rejected config e8ddec as incumbent because it is not better than the incumbents on 1 instances: - [INFO][abstract_intensifier.py:594] Added config 96f88f and rejected config a9b60d as incumbent because it is not better than the incumbents on 1 instances: - [INFO][abstract_intensifier.py:594] Added config 0d4e03 and rejected config 96f88f as incumbent because it is not better than the incumbents on 1 instances: + [INFO][abstract_intensifier.py:594] Added config e74ba7 and rejected config e8ddec as incumbent because it is not better than the incumbents on 1 instances: [INFO][smbo.py:319] Finished 50 trials. - [INFO][abstract_intensifier.py:594] Added config 737ab9 and rejected config 0d4e03 as incumbent because it is not better than the incumbents on 1 instances: - [INFO][abstract_intensifier.py:594] Added config eeebb9 and rejected config 737ab9 as incumbent because it is not better than the incumbents on 1 instances: - [INFO][abstract_intensifier.py:594] Added config 6d9074 and rejected config eeebb9 as incumbent because it is not better than the incumbents on 1 instances: - [INFO][abstract_intensifier.py:594] Added config a0e706 and rejected config 6d9074 as incumbent because it is not better than the incumbents on 1 instances: + [INFO][abstract_intensifier.py:594] Added config 1eebbc and rejected config e74ba7 as incumbent because it is not better than the incumbents on 1 instances: + [INFO][abstract_intensifier.py:594] Added config f01c34 and rejected config 1eebbc as incumbent because it is not better than the incumbents on 1 instances: + [INFO][abstract_intensifier.py:594] Added config 1df946 and rejected config f01c34 as incumbent because it is not better than the incumbents on 1 instances: + [INFO][abstract_intensifier.py:594] Added config 535c5d and rejected config 1df946 as incumbent because it is not better than the incumbents on 1 instances: [INFO][smbo.py:319] Finished 100 trials. [INFO][smbo.py:327] Configuration budget is exhausted: [INFO][smbo.py:328] --- Remaining wallclock time: inf [INFO][smbo.py:329] --- Remaining cpu time: inf [INFO][smbo.py:330] --- Remaining trials: 0 Default cost: 16916.0 - Incumbent cost: 0.8499771879028607 + Incumbent cost: 1.1183978687059386 @@ -59,7 +57,7 @@ This examples show how to use the Ask-and-Tell interface. | -.. code-block:: default +.. code-block:: Python from ConfigSpace import Configuration, ConfigurationSpace, Float @@ -140,7 +138,7 @@ This examples show how to use the Ask-and-Tell interface. .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 3.533 seconds) + **Total running time of the script:** (0 minutes 2.636 seconds) .. _sphx_glr_download_examples_1_basics_3_ask_and_tell.py: @@ -149,7 +147,6 @@ This examples show how to use the Ask-and-Tell interface. .. container:: sphx-glr-footer sphx-glr-footer-example - .. container:: binder-badge .. image:: images/binder_badge_logo.svg @@ -157,12 +154,10 @@ This examples show how to use the Ask-and-Tell interface. :alt: Launch binder :width: 150 px + .. container:: sphx-glr-download sphx-glr-download-jupyter + :download:`Download Jupyter notebook: 3_ask_and_tell.ipynb <3_ask_and_tell.ipynb>` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: 3_ask_and_tell.py <3_ask_and_tell.py>` - - .. container:: sphx-glr-download sphx-glr-download-jupyter - - :download:`Download Jupyter notebook: 3_ask_and_tell.ipynb <3_ask_and_tell.ipynb>` diff --git a/development/_sources/examples/1_basics/4_callback.rst.txt b/development/_sources/examples/1_basics/4_callback.rst.txt index 060c59c01a..c8bbf6fe32 100644 --- a/development/_sources/examples/1_basics/4_callback.rst.txt +++ b/development/_sources/examples/1_basics/4_callback.rst.txt @@ -67,7 +67,7 @@ Furthermore, we print some stages of the optimization process. | -.. code-block:: default +.. code-block:: Python from __future__ import annotations @@ -146,7 +146,7 @@ Furthermore, we print some stages of the optimization process. .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 0.180 seconds) + **Total running time of the script:** (0 minutes 0.147 seconds) .. _sphx_glr_download_examples_1_basics_4_callback.py: @@ -155,7 +155,6 @@ Furthermore, we print some stages of the optimization process. .. container:: sphx-glr-footer sphx-glr-footer-example - .. container:: binder-badge .. image:: images/binder_badge_logo.svg @@ -163,12 +162,10 @@ Furthermore, we print some stages of the optimization process. :alt: Launch binder :width: 150 px + .. container:: sphx-glr-download sphx-glr-download-jupyter + :download:`Download Jupyter notebook: 4_callback.ipynb <4_callback.ipynb>` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: 4_callback.py <4_callback.py>` - - .. container:: sphx-glr-download sphx-glr-download-jupyter - - :download:`Download Jupyter notebook: 4_callback.ipynb <4_callback.ipynb>` diff --git a/development/_sources/examples/1_basics/5_continue.rst.txt b/development/_sources/examples/1_basics/5_continue.rst.txt index ca6f394e89..22e4b62022 100644 --- a/development/_sources/examples/1_basics/5_continue.rst.txt +++ b/development/_sources/examples/1_basics/5_continue.rst.txt @@ -79,7 +79,7 @@ there already is a previous run with the same meta data, this run will be contin | -.. code-block:: default +.. code-block:: Python from __future__ import annotations @@ -170,7 +170,7 @@ there already is a previous run with the same meta data, this run will be contin .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 0.982 seconds) + **Total running time of the script:** (0 minutes 0.814 seconds) .. _sphx_glr_download_examples_1_basics_5_continue.py: @@ -179,7 +179,6 @@ there already is a previous run with the same meta data, this run will be contin .. container:: sphx-glr-footer sphx-glr-footer-example - .. container:: binder-badge .. image:: images/binder_badge_logo.svg @@ -187,12 +186,10 @@ there already is a previous run with the same meta data, this run will be contin :alt: Launch binder :width: 150 px + .. container:: sphx-glr-download sphx-glr-download-jupyter + :download:`Download Jupyter notebook: 5_continue.ipynb <5_continue.ipynb>` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: 5_continue.py <5_continue.py>` - - .. container:: sphx-glr-download sphx-glr-download-jupyter - - :download:`Download Jupyter notebook: 5_continue.ipynb <5_continue.ipynb>` diff --git a/development/_sources/examples/1_basics/6_priors.rst.txt b/development/_sources/examples/1_basics/6_priors.rst.txt index 58268de170..cc8d2f416d 100644 --- a/development/_sources/examples/1_basics/6_priors.rst.txt +++ b/development/_sources/examples/1_basics/6_priors.rst.txt @@ -42,15 +42,15 @@ optimization, you have to change the acquisition function to ``PriorAcquisitionF [WARNING][prior_acqusition_function.py:107] Discretizing the prior for random forest models. [INFO][abstract_intensifier.py:515] Added config 7ec7fe as new incumbent because there are no incumbents yet. [INFO][abstract_intensifier.py:594] Added config 6acb23 and rejected config 7ec7fe as incumbent because it is not better than the incumbents on 1 instances: - [INFO][abstract_intensifier.py:594] Added config 95309e and rejected config 6acb23 as incumbent because it is not better than the incumbents on 1 instances: - [INFO][abstract_intensifier.py:594] Added config 87ba17 and rejected config 95309e as incumbent because it is not better than the incumbents on 1 instances: - [INFO][abstract_intensifier.py:594] Added config a3d1bd and rejected config 87ba17 as incumbent because it is not better than the incumbents on 1 instances: + [INFO][abstract_intensifier.py:594] Added config 37a8e7 and rejected config 6acb23 as incumbent because it is not better than the incumbents on 1 instances: + [INFO][abstract_intensifier.py:594] Added config 5b96ec and rejected config 37a8e7 as incumbent because it is not better than the incumbents on 1 instances: + [INFO][abstract_intensifier.py:594] Added config 35cf09 and rejected config 5b96ec as incumbent because it is not better than the incumbents on 1 instances: [INFO][smbo.py:327] Configuration budget is exhausted: [INFO][smbo.py:328] --- Remaining wallclock time: inf [INFO][smbo.py:329] --- Remaining cpu time: inf [INFO][smbo.py:330] --- Remaining trials: 0 Default cost: 0.038952336737852145 - Default cost: 0.026719281956050667 + Default cost: 0.02727174249458364 @@ -59,7 +59,7 @@ optimization, you have to change the acquisition function to ``PriorAcquisitionF | -.. code-block:: default +.. code-block:: Python import warnings @@ -225,7 +225,7 @@ optimization, you have to change the acquisition function to ``PriorAcquisitionF .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 29.828 seconds) + **Total running time of the script:** (0 minutes 24.000 seconds) .. _sphx_glr_download_examples_1_basics_6_priors.py: @@ -234,7 +234,6 @@ optimization, you have to change the acquisition function to ``PriorAcquisitionF .. container:: sphx-glr-footer sphx-glr-footer-example - .. container:: binder-badge .. image:: images/binder_badge_logo.svg @@ -242,12 +241,10 @@ optimization, you have to change the acquisition function to ``PriorAcquisitionF :alt: Launch binder :width: 150 px + .. container:: sphx-glr-download sphx-glr-download-jupyter + :download:`Download Jupyter notebook: 6_priors.ipynb <6_priors.ipynb>` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: 6_priors.py <6_priors.py>` - - .. container:: sphx-glr-download sphx-glr-download-jupyter - - :download:`Download Jupyter notebook: 6_priors.ipynb <6_priors.ipynb>` diff --git a/development/_sources/examples/1_basics/sg_execution_times.rst.txt b/development/_sources/examples/1_basics/sg_execution_times.rst.txt index f9be974693..000faf8043 100644 --- a/development/_sources/examples/1_basics/sg_execution_times.rst.txt +++ b/development/_sources/examples/1_basics/sg_execution_times.rst.txt @@ -6,18 +6,47 @@ Computation times ================= -**00:38.526** total execution time for **examples_1_basics** files: - -+-----------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_1_basics_6_priors.py` (``6_priors.py``) | 00:29.828 | 0.0 MB | -+-----------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_1_basics_3_ask_and_tell.py` (``3_ask_and_tell.py``) | 00:03.533 | 0.0 MB | -+-----------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_1_basics_1_quadratic_function.py` (``1_quadratic_function.py``) | 00:02.986 | 0.0 MB | -+-----------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_1_basics_2_svm_cv.py` (``2_svm_cv.py``) | 00:01.017 | 0.0 MB | -+-----------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_1_basics_5_continue.py` (``5_continue.py``) | 00:00.982 | 0.0 MB | -+-----------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_1_basics_4_callback.py` (``4_callback.py``) | 00:00.180 | 0.0 MB | -+-----------------------------------------------------------------------------------------+-----------+--------+ +**00:30.783** total execution time for 6 files **from examples/1_basics**: + +.. container:: + + .. raw:: html + + + + + + + + .. list-table:: + :header-rows: 1 + :class: table table-striped sg-datatable + + * - Example + - Time + - Mem (MB) + * - :ref:`sphx_glr_examples_1_basics_6_priors.py` (``6_priors.py``) + - 00:24.000 + - 0.0 + * - :ref:`sphx_glr_examples_1_basics_3_ask_and_tell.py` (``3_ask_and_tell.py``) + - 00:02.636 + - 0.0 + * - :ref:`sphx_glr_examples_1_basics_1_quadratic_function.py` (``1_quadratic_function.py``) + - 00:02.398 + - 0.0 + * - :ref:`sphx_glr_examples_1_basics_5_continue.py` (``5_continue.py``) + - 00:00.814 + - 0.0 + * - :ref:`sphx_glr_examples_1_basics_2_svm_cv.py` (``2_svm_cv.py``) + - 00:00.788 + - 0.0 + * - :ref:`sphx_glr_examples_1_basics_4_callback.py` (``4_callback.py``) + - 00:00.147 + - 0.0 diff --git a/development/_sources/examples/2_multi_fidelity/1_mlp_epochs.rst.txt b/development/_sources/examples/2_multi_fidelity/1_mlp_epochs.rst.txt index 8562f2dde2..b95ec22683 100644 --- a/development/_sources/examples/2_multi_fidelity/1_mlp_epochs.rst.txt +++ b/development/_sources/examples/2_multi_fidelity/1_mlp_epochs.rst.txt @@ -67,22 +67,21 @@ is chosen to optimize the average accuracy on 5-fold cross validation. [INFO][smbo.py:319] Finished 0 trials. [INFO][smbo.py:319] Finished 0 trials. [INFO][smbo.py:319] Finished 50 trials. - [INFO][smbo.py:319] Finished 50 trials. [INFO][abstract_intensifier.py:515] Added config 72f7f7 as new incumbent because there are no incumbents yet. [INFO][abstract_intensifier.py:594] Added config 9d67d8 and rejected config 72f7f7 as incumbent because it is not better than the incumbents on 1 instances: - [INFO][smbo.py:319] Finished 100 trials. - [INFO][abstract_intensifier.py:594] Added config 9cf2fd and rejected config 9d67d8 as incumbent because it is not better than the incumbents on 1 instances: + [INFO][abstract_intensifier.py:594] Added config 67ee32 and rejected config 9d67d8 as incumbent because it is not better than the incumbents on 1 instances: + [INFO][smbo.py:319] Finished 150 trials. [INFO][smbo.py:327] Configuration budget is exhausted: - [INFO][smbo.py:328] --- Remaining wallclock time: -0.018138885498046875 + [INFO][smbo.py:328] --- Remaining wallclock time: -0.1092691421508789 [INFO][smbo.py:329] --- Remaining cpu time: inf - [INFO][smbo.py:330] --- Remaining trials: 386 + [INFO][smbo.py:330] --- Remaining trials: 319 Default cost (SuccessiveHalving): 0.36672856700711853 Incumbent cost (SuccessiveHalving): 0.017254719900959392 [INFO][abstract_initial_design.py:82] Using `n_configs` and ignoring `n_configs_per_hyperparameter`. [INFO][abstract_facade.py:200] Workers are reduced to 8. /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/distributed/node.py:182: UserWarning: Port 8787 is already in use. Perhaps you already have a cluster running? - Hosting the HTTP server on port 44837 instead + Hosting the HTTP server on port 40831 instead warnings.warn( [INFO][abstract_initial_design.py:147] Using 5 initial design configurations and 0 additional configurations. [INFO][successive_halving.py:164] Successive Halving uses budget type BUDGETS with eta 3, min budget 1, and max budget 25. @@ -106,9 +105,9 @@ is chosen to optimize the average accuracy on 5-fold cross validation. [INFO][abstract_intensifier.py:594] Added config efc781 and rejected config ceb3eb as incumbent because it is not better than the incumbents on 1 instances: [INFO][abstract_intensifier.py:594] Added config 9d67d8 and rejected config efc781 as incumbent because it is not better than the incumbents on 1 instances: [INFO][smbo.py:327] Configuration budget is exhausted: - [INFO][smbo.py:328] --- Remaining wallclock time: -1.565629482269287 + [INFO][smbo.py:328] --- Remaining wallclock time: -0.7150156497955322 [INFO][smbo.py:329] --- Remaining cpu time: inf - [INFO][smbo.py:330] --- Remaining trials: 417 + [INFO][smbo.py:330] --- Remaining trials: 393 Default cost (Hyperband): 0.36672856700711853 Incumbent cost (Hyperband): 0.0178087279480037 @@ -119,7 +118,7 @@ is chosen to optimize the average accuracy on 5-fold cross validation. | -.. code-block:: default +.. code-block:: Python import warnings @@ -289,7 +288,7 @@ is chosen to optimize the average accuracy on 5-fold cross validation. .. rst-class:: sphx-glr-timing - **Total running time of the script:** (2 minutes 35.449 seconds) + **Total running time of the script:** (2 minutes 28.424 seconds) .. _sphx_glr_download_examples_2_multi_fidelity_1_mlp_epochs.py: @@ -298,7 +297,6 @@ is chosen to optimize the average accuracy on 5-fold cross validation. .. container:: sphx-glr-footer sphx-glr-footer-example - .. container:: binder-badge .. image:: images/binder_badge_logo.svg @@ -306,12 +304,10 @@ is chosen to optimize the average accuracy on 5-fold cross validation. :alt: Launch binder :width: 150 px + .. container:: sphx-glr-download sphx-glr-download-jupyter + :download:`Download Jupyter notebook: 1_mlp_epochs.ipynb <1_mlp_epochs.ipynb>` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: 1_mlp_epochs.py <1_mlp_epochs.py>` - - .. container:: sphx-glr-download sphx-glr-download-jupyter - - :download:`Download Jupyter notebook: 1_mlp_epochs.ipynb <1_mlp_epochs.ipynb>` diff --git a/development/_sources/examples/2_multi_fidelity/2_sgd_datasets.rst.txt b/development/_sources/examples/2_multi_fidelity/2_sgd_datasets.rst.txt index 01c1588c83..3f994d80c5 100644 --- a/development/_sources/examples/2_multi_fidelity/2_sgd_datasets.rst.txt +++ b/development/_sources/examples/2_multi_fidelity/2_sgd_datasets.rst.txt @@ -63,12 +63,15 @@ the target function now is required to have an instance argument. [INFO][smbo.py:319] Finished 200 trials. [INFO][smbo.py:319] Finished 250 trials. [INFO][smbo.py:319] Finished 300 trials. + [INFO][smbo.py:319] Finished 350 trials. + [INFO][abstract_intensifier.py:594] Added config 3c910e and rejected config 884840 as incumbent because it is not better than the incumbents on 45 instances: + [INFO][smbo.py:319] Finished 400 trials. [INFO][smbo.py:327] Configuration budget is exhausted: - [INFO][smbo.py:328] --- Remaining wallclock time: -0.05354905128479004 + [INFO][smbo.py:328] --- Remaining wallclock time: -0.015347719192504883 [INFO][smbo.py:329] --- Remaining cpu time: inf - [INFO][smbo.py:330] --- Remaining trials: 4664 + [INFO][smbo.py:330] --- Remaining trials: 4561 Default cost: 0.15489347419148672 - Incumbent cost: 0.006249006102246613 + Incumbent cost: 0.005937605060508486 @@ -77,7 +80,7 @@ the target function now is required to have an instance argument. | -.. code-block:: default +.. code-block:: Python from __future__ import annotations @@ -208,7 +211,7 @@ the target function now is required to have an instance argument. .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 38.110 seconds) + **Total running time of the script:** (0 minutes 35.078 seconds) .. _sphx_glr_download_examples_2_multi_fidelity_2_sgd_datasets.py: @@ -217,7 +220,6 @@ the target function now is required to have an instance argument. .. container:: sphx-glr-footer sphx-glr-footer-example - .. container:: binder-badge .. image:: images/binder_badge_logo.svg @@ -225,12 +227,10 @@ the target function now is required to have an instance argument. :alt: Launch binder :width: 150 px + .. container:: sphx-glr-download sphx-glr-download-jupyter + :download:`Download Jupyter notebook: 2_sgd_datasets.ipynb <2_sgd_datasets.ipynb>` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: 2_sgd_datasets.py <2_sgd_datasets.py>` - - .. container:: sphx-glr-download sphx-glr-download-jupyter - - :download:`Download Jupyter notebook: 2_sgd_datasets.ipynb <2_sgd_datasets.ipynb>` diff --git a/development/_sources/examples/2_multi_fidelity/sg_execution_times.rst.txt b/development/_sources/examples/2_multi_fidelity/sg_execution_times.rst.txt index c8635ae64e..586ba69043 100644 --- a/development/_sources/examples/2_multi_fidelity/sg_execution_times.rst.txt +++ b/development/_sources/examples/2_multi_fidelity/sg_execution_times.rst.txt @@ -6,10 +6,35 @@ Computation times ================= -**03:13.559** total execution time for **examples_2_multi_fidelity** files: +**03:03.502** total execution time for 2 files **from examples/2_multi_fidelity**: -+-------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_2_multi_fidelity_1_mlp_epochs.py` (``1_mlp_epochs.py``) | 02:35.449 | 0.0 MB | -+-------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_2_multi_fidelity_2_sgd_datasets.py` (``2_sgd_datasets.py``) | 00:38.110 | 0.0 MB | -+-------------------------------------------------------------------------------------+-----------+--------+ +.. container:: + + .. raw:: html + + + + + + + + .. list-table:: + :header-rows: 1 + :class: table table-striped sg-datatable + + * - Example + - Time + - Mem (MB) + * - :ref:`sphx_glr_examples_2_multi_fidelity_1_mlp_epochs.py` (``1_mlp_epochs.py``) + - 02:28.424 + - 0.0 + * - :ref:`sphx_glr_examples_2_multi_fidelity_2_sgd_datasets.py` (``2_sgd_datasets.py``) + - 00:35.078 + - 0.0 diff --git a/development/_sources/examples/3_multi_objective/1_schaffer.rst.txt b/development/_sources/examples/3_multi_objective/1_schaffer.rst.txt index 91b13aeca5..af4a1e402d 100644 --- a/development/_sources/examples/3_multi_objective/1_schaffer.rst.txt +++ b/development/_sources/examples/3_multi_objective/1_schaffer.rst.txt @@ -180,158 +180,158 @@ SMAC prioritizes the second objective over the first one. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. [INFO][abstract_intensifier.py:602] Config 00947e is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 7e03ee is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 623aaa is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. [INFO][abstract_intensifier.py:602] Config e7652a is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 5f1f68 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config c17b3b is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. [INFO][abstract_intensifier.py:602] Config c9a4ab is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 26907e is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config c78bba is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. [INFO][abstract_intensifier.py:602] Config f523f5 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 940870 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config d5d9b3 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config f21a6e is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 050956 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. [INFO][abstract_intensifier.py:602] Config 04cf46 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config e3e1fc is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config cd933e is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. + [INFO][abstract_intensifier.py:602] Config 6a4a47 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. [INFO][abstract_intensifier.py:602] Config 7cab7f is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 4abdbb is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config a882a8 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 65680c is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config cfe943 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 257ec9 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 161437 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 0ffa3c is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config eb7876 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 3e7b8c is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 257ec9 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config b61ca9 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 0038ea is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 1e70ce is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config b779c7 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. [INFO][abstract_intensifier.py:602] Config 9621a8 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. [INFO][abstract_intensifier.py:602] Config 26d5a4 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config aa878c is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config fff544 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config c40c4c is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config ea6007 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config a88778 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 850574 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 6e1528 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 405f05 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 0e4ddc is a new incumbent. Total number of incumbents: 11. - [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 8ae00c is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 016225 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. [INFO][smbo.py:319] Finished 100 trials. - [INFO][abstract_intensifier.py:602] Config 2fb8e3 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config c6f7e7 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 313866 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config b62dbe is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 9a849e is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 5b4ebd is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config bf6ee6 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config dff21b is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 1c3721 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config c13f17 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config d6acb8 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config ef6d00 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 2e23af is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 4051b5 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config d2a8ac is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 03d947 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 49eabf is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config d2a8ac is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 17755d is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 4ee072 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. [INFO][abstract_intensifier.py:602] Config e4515e is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 3c0836 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config a241bb is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 657da4 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config c2b5f5 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 75e08e is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 2b4703 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 9ec620 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 1d3f71 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 1b701e is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 09c690 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 38990f is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 980177 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 9adac9 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 18b4fb is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 9b50d4 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 5889c8 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config eb89b7 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 38990f is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 299174 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config af00a5 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 2ff038 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 6ea6dc is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 4d31e6 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config caf420 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config c00b70 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config be6467 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 04b3b4 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config a2cbcd is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 4c851f is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config f3c58a is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 1d8cc2 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 31cac4 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 74b413 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 04b3b4 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config ce98d7 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 62390f is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 6635ed is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config f4d7f6 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 5448e7 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config e6e911 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 0f10d0 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 46a579 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 409930 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 973900 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 39f1ae is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 818cbb is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 02e0b8 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 7c3c4a is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 5ebade is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 6582db is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 0b0993 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config d6935c is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config cd13ee is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config cd4c2b is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 04173b is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config dd5f9b is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 8d020c is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 8cae70 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 90b0e6 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 759585 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config b5b43a is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 470bcf is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 6ef076 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 36943e is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 174106 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 624738 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config c5f14e is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 0d9f14 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 5c0b56 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 2f3430 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 2b710a is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 2215da is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 6a9164 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 80f804 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config a37eca is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config 9ceac5 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. - [INFO][abstract_intensifier.py:602] Config 29ed99 is a new incumbent. Total number of incumbents: 11. + [INFO][abstract_intensifier.py:602] Config b49511 is a new incumbent. Total number of incumbents: 11. [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available. [INFO][smbo.py:319] Finished 150 trials. [INFO][smbo.py:327] Configuration budget is exhausted: @@ -344,15 +344,15 @@ SMAC prioritizes the second objective over the first one. Validated costs from the Pareto front (incumbents): --- [0.01538581 3.51922763] - --- [3.81477017e+00 2.19551629e-03] + --- [3.98157338e+00 2.12703017e-05] --- [0.66494111 1.40318427] - --- [0.28063773 2.16162765] - --- [1.21948125 0.80227625] + --- [0.27572929 2.17533202] + --- [1.23793885 0.78743083] --- [0.09228592 2.87714199] --- [3.16368713 0.04898446] - --- [2.51598724 0.17124171] - --- [1.60303937 0.53859173] - --- [2.0255363 0.33268282] + --- [2.5425014 0.16441216] + --- [1.56462636 0.56122534] + --- [2.01575389 0.33666398] @@ -361,7 +361,7 @@ SMAC prioritizes the second objective over the first one. | -.. code-block:: default +.. code-block:: Python from __future__ import annotations @@ -464,7 +464,7 @@ SMAC prioritizes the second objective over the first one. .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 12.196 seconds) + **Total running time of the script:** (0 minutes 8.490 seconds) .. _sphx_glr_download_examples_3_multi_objective_1_schaffer.py: @@ -473,7 +473,6 @@ SMAC prioritizes the second objective over the first one. .. container:: sphx-glr-footer sphx-glr-footer-example - .. container:: binder-badge .. image:: images/binder_badge_logo.svg @@ -481,12 +480,10 @@ SMAC prioritizes the second objective over the first one. :alt: Launch binder :width: 150 px + .. container:: sphx-glr-download sphx-glr-download-jupyter + :download:`Download Jupyter notebook: 1_schaffer.ipynb <1_schaffer.ipynb>` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: 1_schaffer.py <1_schaffer.py>` - - .. container:: sphx-glr-download sphx-glr-download-jupyter - - :download:`Download Jupyter notebook: 1_schaffer.ipynb <1_schaffer.ipynb>` diff --git a/development/_sources/examples/3_multi_objective/2_parego.rst.txt b/development/_sources/examples/3_multi_objective/2_parego.rst.txt index a2ef84f326..afef2d3a2e 100644 --- a/development/_sources/examples/3_multi_objective/2_parego.rst.txt +++ b/development/_sources/examples/3_multi_objective/2_parego.rst.txt @@ -46,20 +46,28 @@ mean accuracy and run-time of each configuration. [INFO][abstract_initial_design.py:147] Using 5 initial design configurations and 0 additional configurations. [INFO][abstract_intensifier.py:515] Added config 3623cc as new incumbent because there are no incumbents yet. [INFO][abstract_intensifier.py:602] Config 540db2 is a new incumbent. Total number of incumbents: 2. - [INFO][abstract_intensifier.py:602] Config 3b5efd is a new incumbent. Total number of incumbents: 3. - [INFO][abstract_intensifier.py:594] Added config edca48 and rejected config 503b4b as incumbent because it is not better than the incumbents on 2 instances: - [INFO][abstract_intensifier.py:602] Config 99f86d is a new incumbent. Total number of incumbents: 3. + [INFO][abstract_intensifier.py:602] Config 0c9159 is a new incumbent. Total number of incumbents: 3. + [INFO][abstract_intensifier.py:602] Config f81150 is a new incumbent. Total number of incumbents: 3. + [INFO][abstract_intensifier.py:594] Added config 9fd03c and rejected config f81150 as incumbent because it is not better than the incumbents on 2 instances: + [INFO][abstract_intensifier.py:602] Config b92f9f is a new incumbent. Total number of incumbents: 4. + [INFO][abstract_intensifier.py:594] Added config 2895a7 and rejected config 3b5efd as incumbent because it is not better than the incumbents on 2 instances: + [INFO][abstract_intensifier.py:594] Added config 978294 and rejected config 9fd03c as incumbent because it is not better than the incumbents on 2 instances: + [INFO][abstract_intensifier.py:602] Config 1b01ec is a new incumbent. Total number of incumbents: 4. + [INFO][abstract_intensifier.py:602] Config 8dcd94 is a new incumbent. Total number of incumbents: 4. + [INFO][abstract_intensifier.py:602] Config ce1565 is a new incumbent. Total number of incumbents: 5. [INFO][smbo.py:327] Configuration budget is exhausted: - [INFO][smbo.py:328] --- Remaining wallclock time: -0.006031036376953125 + [INFO][smbo.py:328] --- Remaining wallclock time: -0.3699915409088135 [INFO][smbo.py:329] --- Remaining cpu time: inf - [INFO][smbo.py:330] --- Remaining trials: 173 + [INFO][smbo.py:330] --- Remaining trials: 156 Validated costs from default config: - --- [0.60155834 0.23677588] + --- [0.60155834 0.21888936] Validated costs from the Pareto front (incumbents): - --- [0.88924791 0.32734382] - --- [0.03033736 0.61645281] - --- [0.02949783 0.78047216] + --- [0.02421 0.52604556] + --- [0.03589601 0.37584984] + --- [0.14135562 0.18027866] + --- [0.07067858 0.23799729] + --- [0.05119468 0.32414722] @@ -68,7 +76,7 @@ mean accuracy and run-time of each configuration. | -.. code-block:: default +.. code-block:: Python from __future__ import annotations @@ -240,7 +248,7 @@ mean accuracy and run-time of each configuration. .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 34.152 seconds) + **Total running time of the script:** (0 minutes 34.296 seconds) .. _sphx_glr_download_examples_3_multi_objective_2_parego.py: @@ -249,7 +257,6 @@ mean accuracy and run-time of each configuration. .. container:: sphx-glr-footer sphx-glr-footer-example - .. container:: binder-badge .. image:: images/binder_badge_logo.svg @@ -257,12 +264,10 @@ mean accuracy and run-time of each configuration. :alt: Launch binder :width: 150 px + .. container:: sphx-glr-download sphx-glr-download-jupyter + :download:`Download Jupyter notebook: 2_parego.ipynb <2_parego.ipynb>` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: 2_parego.py <2_parego.py>` - - .. container:: sphx-glr-download sphx-glr-download-jupyter - - :download:`Download Jupyter notebook: 2_parego.ipynb <2_parego.ipynb>` diff --git a/development/_sources/examples/3_multi_objective/sg_execution_times.rst.txt b/development/_sources/examples/3_multi_objective/sg_execution_times.rst.txt index 8138d99498..0581b6a0d7 100644 --- a/development/_sources/examples/3_multi_objective/sg_execution_times.rst.txt +++ b/development/_sources/examples/3_multi_objective/sg_execution_times.rst.txt @@ -6,10 +6,35 @@ Computation times ================= -**00:46.348** total execution time for **examples_3_multi_objective** files: +**00:42.785** total execution time for 2 files **from examples/3_multi_objective**: -+------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_3_multi_objective_2_parego.py` (``2_parego.py``) | 00:34.152 | 0.0 MB | -+------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_3_multi_objective_1_schaffer.py` (``1_schaffer.py``) | 00:12.196 | 0.0 MB | -+------------------------------------------------------------------------------+-----------+--------+ +.. container:: + + .. raw:: html + + + + + + + + .. list-table:: + :header-rows: 1 + :class: table table-striped sg-datatable + + * - Example + - Time + - Mem (MB) + * - :ref:`sphx_glr_examples_3_multi_objective_2_parego.py` (``2_parego.py``) + - 00:34.296 + - 0.0 + * - :ref:`sphx_glr_examples_3_multi_objective_1_schaffer.py` (``1_schaffer.py``) + - 00:08.490 + - 0.0 diff --git a/development/_sources/examples/5_commandline/1_call_target_function_script.rst.txt b/development/_sources/examples/5_commandline/1_call_target_function_script.rst.txt index a329b8036d..0e01b6fb7e 100644 --- a/development/_sources/examples/5_commandline/1_call_target_function_script.rst.txt +++ b/development/_sources/examples/5_commandline/1_call_target_function_script.rst.txt @@ -76,7 +76,7 @@ This simple example shows how to call a script with the following content: | -.. code-block:: default +.. code-block:: Python from ConfigSpace import ConfigurationSpace @@ -112,7 +112,7 @@ This simple example shows how to call a script with the following content: .. rst-class:: sphx-glr-timing - **Total running time of the script:** (0 minutes 5.831 seconds) + **Total running time of the script:** (0 minutes 3.944 seconds) .. _sphx_glr_download_examples_5_commandline_1_call_target_function_script.py: @@ -121,7 +121,6 @@ This simple example shows how to call a script with the following content: .. container:: sphx-glr-footer sphx-glr-footer-example - .. container:: binder-badge .. image:: images/binder_badge_logo.svg @@ -129,12 +128,10 @@ This simple example shows how to call a script with the following content: :alt: Launch binder :width: 150 px + .. container:: sphx-glr-download sphx-glr-download-jupyter + :download:`Download Jupyter notebook: 1_call_target_function_script.ipynb <1_call_target_function_script.ipynb>` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: 1_call_target_function_script.py <1_call_target_function_script.py>` - - .. container:: sphx-glr-download sphx-glr-download-jupyter - - :download:`Download Jupyter notebook: 1_call_target_function_script.ipynb <1_call_target_function_script.ipynb>` diff --git a/development/_sources/examples/5_commandline/sg_execution_times.rst.txt b/development/_sources/examples/5_commandline/sg_execution_times.rst.txt index 684a5bbb6d..0240f7092f 100644 --- a/development/_sources/examples/5_commandline/sg_execution_times.rst.txt +++ b/development/_sources/examples/5_commandline/sg_execution_times.rst.txt @@ -6,8 +6,32 @@ Computation times ================= -**00:05.831** total execution time for **examples_5_commandline** files: +**00:03.944** total execution time for 1 file **from examples/5_commandline**: -+----------------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_examples_5_commandline_1_call_target_function_script.py` (``1_call_target_function_script.py``) | 00:05.831 | 0.0 MB | -+----------------------------------------------------------------------------------------------------------------+-----------+--------+ +.. container:: + + .. raw:: html + + + + + + + + .. list-table:: + :header-rows: 1 + :class: table table-striped sg-datatable + + * - Example + - Time + - Mem (MB) + * - :ref:`sphx_glr_examples_5_commandline_1_call_target_function_script.py` (``1_call_target_function_script.py``) + - 00:03.944 + - 0.0 diff --git a/development/_sources/examples/sg_execution_times.rst.txt b/development/_sources/examples/sg_execution_times.rst.txt new file mode 100644 index 0000000000..f7a0c03b83 --- /dev/null +++ b/development/_sources/examples/sg_execution_times.rst.txt @@ -0,0 +1,37 @@ + +:orphan: + +.. _sphx_glr_examples_sg_execution_times: + + +Computation times +================= +**00:00.000** total execution time for 0 files **from examples**: + +.. container:: + + .. raw:: html + + + + + + + + .. list-table:: + :header-rows: 1 + :class: table table-striped sg-datatable + + * - Example + - Time + - Mem (MB) + * - N/A + - N/A + - N/A diff --git a/development/_sources/sg_execution_times.rst.txt b/development/_sources/sg_execution_times.rst.txt new file mode 100644 index 0000000000..d037ba644a --- /dev/null +++ b/development/_sources/sg_execution_times.rst.txt @@ -0,0 +1,67 @@ + +:orphan: + +.. _sphx_glr_sg_execution_times: + + +Computation times +================= +**04:21.014** total execution time for 11 files **from all galleries**: + +.. container:: + + .. raw:: html + + + + + + + + .. list-table:: + :header-rows: 1 + :class: table table-striped sg-datatable + + * - Example + - Time + - Mem (MB) + * - :ref:`sphx_glr_examples_2_multi_fidelity_1_mlp_epochs.py` (``../examples/2_multi_fidelity/1_mlp_epochs.py``) + - 02:28.424 + - 0.0 + * - :ref:`sphx_glr_examples_2_multi_fidelity_2_sgd_datasets.py` (``../examples/2_multi_fidelity/2_sgd_datasets.py``) + - 00:35.078 + - 0.0 + * - :ref:`sphx_glr_examples_3_multi_objective_2_parego.py` (``../examples/3_multi_objective/2_parego.py``) + - 00:34.296 + - 0.0 + * - :ref:`sphx_glr_examples_1_basics_6_priors.py` (``../examples/1_basics/6_priors.py``) + - 00:24.000 + - 0.0 + * - :ref:`sphx_glr_examples_3_multi_objective_1_schaffer.py` (``../examples/3_multi_objective/1_schaffer.py``) + - 00:08.490 + - 0.0 + * - :ref:`sphx_glr_examples_5_commandline_1_call_target_function_script.py` (``../examples/5_commandline/1_call_target_function_script.py``) + - 00:03.944 + - 0.0 + * - :ref:`sphx_glr_examples_1_basics_3_ask_and_tell.py` (``../examples/1_basics/3_ask_and_tell.py``) + - 00:02.636 + - 0.0 + * - :ref:`sphx_glr_examples_1_basics_1_quadratic_function.py` (``../examples/1_basics/1_quadratic_function.py``) + - 00:02.398 + - 0.0 + * - :ref:`sphx_glr_examples_1_basics_5_continue.py` (``../examples/1_basics/5_continue.py``) + - 00:00.814 + - 0.0 + * - :ref:`sphx_glr_examples_1_basics_2_svm_cv.py` (``../examples/1_basics/2_svm_cv.py``) + - 00:00.788 + - 0.0 + * - :ref:`sphx_glr_examples_1_basics_4_callback.py` (``../examples/1_basics/4_callback.py``) + - 00:00.147 + - 0.0 diff --git a/development/api/smac.acquisition.function.abstract_acquisition_function.html b/development/api/smac.acquisition.function.abstract_acquisition_function.html index 1159956a2b..c9365740cb 100644 --- a/development/api/smac.acquisition.function.abstract_acquisition_function.html +++ b/development/api/smac.acquisition.function.abstract_acquisition_function.html @@ -1162,7 +1162,7 @@

InterfacesReturn type:

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diff --git a/development/api/smac.callback.callback.html b/development/api/smac.callback.callback.html index 9cef87e19b..512c7d2bbe 100644 --- a/development/api/smac.callback.callback.html +++ b/development/api/smac.callback.callback.html @@ -1162,7 +1162,7 @@

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None

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None

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None

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None

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-

None

+

None

@@ -1228,7 +1228,7 @@

Interfaces
Return type:
-

None

+

None

@@ -1240,7 +1240,7 @@

Interfaces
Return type:
-

None

+

None

@@ -1251,7 +1251,7 @@

Interfaces
Return type:
-

None

+

None

@@ -1263,7 +1263,7 @@

Interfaces
Return type:
-

Optional[bool]

+

Optional[bool]

@@ -1275,7 +1275,7 @@

Interfaces
Return type:
-

Optional[bool]

+

Optional[bool]

@@ -1292,7 +1292,7 @@

Interfaces
Return type:
-

None

+

None

diff --git a/development/api/smac.callback.metadata_callback.html b/development/api/smac.callback.metadata_callback.html index 92050de0a5..362cdbfc19 100644 --- a/development/api/smac.callback.metadata_callback.html +++ b/development/api/smac.callback.metadata_callback.html @@ -1080,7 +1080,7 @@

Interfaces
Return type:
-

None

+

None

diff --git a/development/api/smac.facade.abstract_facade.html b/development/api/smac.facade.abstract_facade.html index b849be2959..fc74cbc117 100644 --- a/development/api/smac.facade.abstract_facade.html +++ b/development/api/smac.facade.abstract_facade.html @@ -1277,7 +1277,7 @@

Interfaces
Return type:
-

TrialInfo

+

TrialInfo

@@ -1289,7 +1289,7 @@

Interfaces
Return type:
-

AbstractAcquisitionFunction

+

AbstractAcquisitionFunction

@@ -1301,7 +1301,7 @@

Interfaces
Return type:
-

AbstractAcquisitionMaximizer

+

AbstractAcquisitionMaximizer

@@ -1312,7 +1312,7 @@

Interfaces
Return type:
-

ConfigSelector

+

ConfigSelector

@@ -1324,7 +1324,7 @@

Interfaces
Return type:
-

AbstractInitialDesign

+

AbstractInitialDesign

@@ -1336,7 +1336,7 @@

Interfaces
Return type:
-

AbstractIntensifier

+

AbstractIntensifier

@@ -1347,7 +1347,7 @@

Interfaces
Return type:
-

AbstractModel

+

AbstractModel

@@ -1359,7 +1359,7 @@

Interfaces
Return type:
-

AbstractMultiObjectiveAlgorithm

+

AbstractMultiObjectiveAlgorithm

@@ -1371,7 +1371,7 @@

Interfaces
Return type:
-

AbstractRandomDesign

+

AbstractRandomDesign

@@ -1383,7 +1383,7 @@

Interfaces
Return type:
-

AbstractRunHistoryEncoder

+

AbstractRunHistoryEncoder

@@ -1455,7 +1455,7 @@

InterfacesReturn type: -

None

+

None

diff --git a/development/api/smac.facade.algorithm_configuration_facade.html b/development/api/smac.facade.algorithm_configuration_facade.html index c0408c333d..e7a5b27396 100644 --- a/development/api/smac.facade.algorithm_configuration_facade.html +++ b/development/api/smac.facade.algorithm_configuration_facade.html @@ -1150,7 +1150,7 @@

InterfacesReturn type: -

EI

+

EI

@@ -1161,7 +1161,7 @@

Interfaces
Return type:
-

LocalAndSortedRandomSearch

+

LocalAndSortedRandomSearch

@@ -1175,7 +1175,7 @@

Interfaces

additional_configs (list[Configuration], defaults to []) – Adds additional configurations to the initial design.

Return type:
-

DefaultInitialDesign

+

DefaultInitialDesign

@@ -1193,7 +1193,7 @@

InterfacesReturn type: -

Intensifier

+

Intensifier

@@ -1215,7 +1215,7 @@

InterfacesReturn type: -

RandomForest

+

RandomForest

@@ -1233,7 +1233,7 @@

InterfacesReturn type: -

MeanAggregationStrategy

+

MeanAggregationStrategy

@@ -1247,7 +1247,7 @@

Interfaces

probability (float, defaults to 0.5) – Probability that a configuration will be drawn at random.

Return type:
-

ProbabilityRandomDesign

+

ProbabilityRandomDesign

@@ -1258,7 +1258,7 @@

Interfaces
Return type:
-

RunHistoryEncoder

+

RunHistoryEncoder

diff --git a/development/api/smac.facade.blackbox_facade.html b/development/api/smac.facade.blackbox_facade.html index ffea59ae12..ed19fef527 100644 --- a/development/api/smac.facade.blackbox_facade.html +++ b/development/api/smac.facade.blackbox_facade.html @@ -1159,7 +1159,7 @@

InterfacesReturn type: -

EI

+

EI

@@ -1176,7 +1176,7 @@

InterfacesReturn type: -

LocalAndSortedRandomSearch

+

LocalAndSortedRandomSearch

@@ -1199,7 +1199,7 @@

InterfacesReturn type: -

SobolInitialDesign

+

SobolInitialDesign

@@ -1218,7 +1218,7 @@

InterfacesReturn type: -

Intensifier

+

Intensifier

@@ -1231,7 +1231,7 @@

Interfaces
Return type:
-

Kernel

+

Kernel

@@ -1270,7 +1270,7 @@

InterfacesReturn type: -

MeanAggregationStrategy

+

MeanAggregationStrategy

@@ -1284,7 +1284,7 @@

Interfaces

probability (float, defaults to 0.08447232371720552) – Probability that a configuration will be drawn at random.

Return type:
-

ProbabilityRandomDesign

+

ProbabilityRandomDesign

@@ -1295,7 +1295,7 @@

Interfaces
Return type:
-

RunHistoryEncoder

+

RunHistoryEncoder

diff --git a/development/api/smac.facade.html b/development/api/smac.facade.html index 59886baa99..fd89300724 100644 --- a/development/api/smac.facade.html +++ b/development/api/smac.facade.html @@ -1657,7 +1657,7 @@

Interfaces
Return type:
-

TrialInfo

+

TrialInfo

@@ -1669,7 +1669,7 @@

Interfaces
Return type:
-

AbstractAcquisitionFunction

+

AbstractAcquisitionFunction

@@ -1681,7 +1681,7 @@

Interfaces
Return type:
-

AbstractAcquisitionMaximizer

+

AbstractAcquisitionMaximizer

@@ -1692,7 +1692,7 @@

Interfaces
Return type:
-

ConfigSelector

+

ConfigSelector

@@ -1704,7 +1704,7 @@

Interfaces
Return type:
-

AbstractInitialDesign

+

AbstractInitialDesign

@@ -1716,7 +1716,7 @@

Interfaces
Return type:
-

AbstractIntensifier

+

AbstractIntensifier

@@ -1727,7 +1727,7 @@

Interfaces
Return type:
-

AbstractModel

+

AbstractModel

@@ -1739,7 +1739,7 @@

Interfaces
Return type:
-

AbstractMultiObjectiveAlgorithm

+

AbstractMultiObjectiveAlgorithm

@@ -1751,7 +1751,7 @@

Interfaces
Return type:
-

AbstractRandomDesign

+

AbstractRandomDesign

@@ -1763,7 +1763,7 @@

Interfaces
Return type:
-

AbstractRunHistoryEncoder

+

AbstractRunHistoryEncoder

@@ -1835,7 +1835,7 @@

InterfacesReturn type: -

None

+

None

@@ -1883,7 +1883,7 @@

InterfacesReturn type: -

EI

+

EI

@@ -1894,7 +1894,7 @@

Interfaces
Return type:
-

LocalAndSortedRandomSearch

+

LocalAndSortedRandomSearch

@@ -1908,7 +1908,7 @@

Interfaces

additional_configs (list[Configuration], defaults to []) – Adds additional configurations to the initial design.

Return type:
-

DefaultInitialDesign

+

DefaultInitialDesign

@@ -1926,7 +1926,7 @@

InterfacesReturn type: -

Intensifier

+

Intensifier

@@ -1948,7 +1948,7 @@

InterfacesReturn type: -

RandomForest

+

RandomForest

@@ -1966,7 +1966,7 @@

InterfacesReturn type: -

MeanAggregationStrategy

+

MeanAggregationStrategy

@@ -1980,7 +1980,7 @@

Interfaces

probability (float, defaults to 0.5) – Probability that a configuration will be drawn at random.

Return type:
-

ProbabilityRandomDesign

+

ProbabilityRandomDesign

@@ -1991,7 +1991,7 @@

Interfaces
Return type:
-

RunHistoryEncoder

+

RunHistoryEncoder

@@ -2015,7 +2015,7 @@

InterfacesReturn type: -

EI

+

EI

@@ -2032,7 +2032,7 @@

InterfacesReturn type: -

LocalAndSortedRandomSearch

+

LocalAndSortedRandomSearch

@@ -2055,7 +2055,7 @@

InterfacesReturn type: -

SobolInitialDesign

+

SobolInitialDesign

@@ -2074,7 +2074,7 @@

InterfacesReturn type: -

Intensifier

+

Intensifier

@@ -2087,7 +2087,7 @@

Interfaces
Return type:
-

Kernel

+

Kernel

@@ -2126,7 +2126,7 @@

InterfacesReturn type: -

MeanAggregationStrategy

+

MeanAggregationStrategy

@@ -2140,7 +2140,7 @@

Interfaces

probability (float, defaults to 0.08447232371720552) – Probability that a configuration will be drawn at random.

Return type:
-

ProbabilityRandomDesign

+

ProbabilityRandomDesign

@@ -2151,7 +2151,7 @@

Interfaces
Return type:
-

RunHistoryEncoder

+

RunHistoryEncoder

@@ -2171,7 +2171,7 @@

Interfaces
Return type:
-

Hyperband

+

Hyperband

@@ -2213,7 +2213,7 @@

InterfacesReturn type: -

EI

+

EI

@@ -2234,7 +2234,7 @@

InterfacesReturn type: -

LocalAndSortedRandomSearch

+

LocalAndSortedRandomSearch

@@ -2257,7 +2257,7 @@

InterfacesReturn type: -

SobolInitialDesign

+

SobolInitialDesign

@@ -2276,7 +2276,7 @@

InterfacesReturn type: -

Intensifier

+

Intensifier

@@ -2297,7 +2297,7 @@

InterfacesReturn type: -

RandomForest

+

RandomForest

@@ -2315,7 +2315,7 @@

InterfacesReturn type: -

MeanAggregationStrategy

+

MeanAggregationStrategy

@@ -2329,7 +2329,7 @@

Interfaces

probability (float, defaults to 0.2) – Probability that a configuration will be drawn at random.

Return type:
-

ProbabilityRandomDesign

+

ProbabilityRandomDesign

@@ -2341,7 +2341,7 @@

Interfaces
Return type:
-

RunHistoryLogScaledEncoder

+

RunHistoryLogScaledEncoder

@@ -2371,7 +2371,7 @@

InterfacesReturn type: -

RandomInitialDesign

+

RandomInitialDesign

@@ -2382,7 +2382,7 @@

Interfaces
Return type:
-

Hyperband

+

Hyperband

@@ -2448,7 +2448,7 @@

Interfaces
Return type:
-

AbstractAcquisitionFunction

+

AbstractAcquisitionFunction

@@ -2460,7 +2460,7 @@

Interfaces
Return type:
-

RandomSearch

+

RandomSearch

@@ -2474,7 +2474,7 @@

Interfaces

additional_configs (list[Configuration], defaults to []) – Adds additional configurations to the initial design.

Return type:
-

DefaultInitialDesign

+

DefaultInitialDesign

@@ -2500,7 +2500,7 @@

InterfacesReturn type: -

Intensifier

+

Intensifier

@@ -2512,7 +2512,7 @@

Interfaces
Return type:
-

RandomModel

+

RandomModel

@@ -2530,7 +2530,7 @@

InterfacesReturn type: -

MeanAggregationStrategy

+

MeanAggregationStrategy

@@ -2541,7 +2541,7 @@

Interfaces
Return type:
-

AbstractRandomDesign

+

AbstractRandomDesign

@@ -2552,7 +2552,7 @@

Interfaces
Return type:
-

RunHistoryEncoder

+

RunHistoryEncoder

diff --git a/development/api/smac.facade.hyperband_facade.html b/development/api/smac.facade.hyperband_facade.html index cf6c8ca07f..2c822dac95 100644 --- a/development/api/smac.facade.hyperband_facade.html +++ b/development/api/smac.facade.hyperband_facade.html @@ -1083,7 +1083,7 @@

Interfaces
Return type:
-

Hyperband

+

Hyperband

diff --git a/development/api/smac.facade.hyperparameter_optimization_facade.html b/development/api/smac.facade.hyperparameter_optimization_facade.html index 4f0f0f6931..b094d558f3 100644 --- a/development/api/smac.facade.hyperparameter_optimization_facade.html +++ b/development/api/smac.facade.hyperparameter_optimization_facade.html @@ -1150,7 +1150,7 @@

InterfacesReturn type: -

EI

+

EI

@@ -1171,7 +1171,7 @@

InterfacesReturn type: -

LocalAndSortedRandomSearch

+

LocalAndSortedRandomSearch

@@ -1194,7 +1194,7 @@

InterfacesReturn type: -

SobolInitialDesign

+

SobolInitialDesign

@@ -1213,7 +1213,7 @@

InterfacesReturn type: -

Intensifier

+

Intensifier

@@ -1234,7 +1234,7 @@

InterfacesReturn type: -

RandomForest

+

RandomForest

@@ -1252,7 +1252,7 @@

InterfacesReturn type: -

MeanAggregationStrategy

+

MeanAggregationStrategy

@@ -1266,7 +1266,7 @@

Interfaces

probability (float, defaults to 0.2) – Probability that a configuration will be drawn at random.

Return type:
-

ProbabilityRandomDesign

+

ProbabilityRandomDesign

@@ -1278,7 +1278,7 @@

Interfaces
Return type:
-

RunHistoryLogScaledEncoder

+

RunHistoryLogScaledEncoder

diff --git a/development/api/smac.facade.multi_fidelity_facade.html b/development/api/smac.facade.multi_fidelity_facade.html index cfd18a4acd..dd9c1a204c 100644 --- a/development/api/smac.facade.multi_fidelity_facade.html +++ b/development/api/smac.facade.multi_fidelity_facade.html @@ -1102,7 +1102,7 @@

InterfacesReturn type: -

RandomInitialDesign

+

RandomInitialDesign

@@ -1113,7 +1113,7 @@

Interfaces
Return type:
-

Hyperband

+

Hyperband

diff --git a/development/api/smac.facade.random_facade.html b/development/api/smac.facade.random_facade.html index 9af2a909d8..4b9994453d 100644 --- a/development/api/smac.facade.random_facade.html +++ b/development/api/smac.facade.random_facade.html @@ -1168,7 +1168,7 @@

Interfaces
Return type:
-

AbstractAcquisitionFunction

+

AbstractAcquisitionFunction

@@ -1180,7 +1180,7 @@

Interfaces
Return type:
-

RandomSearch

+

RandomSearch

@@ -1194,7 +1194,7 @@

Interfaces

additional_configs (list[Configuration], defaults to []) – Adds additional configurations to the initial design.

Return type:
-

DefaultInitialDesign

+

DefaultInitialDesign

@@ -1220,7 +1220,7 @@

InterfacesReturn type: -

Intensifier

+

Intensifier

@@ -1232,7 +1232,7 @@

Interfaces
Return type:
-

RandomModel

+

RandomModel

@@ -1250,7 +1250,7 @@

InterfacesReturn type: -

MeanAggregationStrategy

+

MeanAggregationStrategy

@@ -1261,7 +1261,7 @@

Interfaces
Return type:
-

AbstractRandomDesign

+

AbstractRandomDesign

@@ -1272,7 +1272,7 @@

Interfaces
Return type:
-

RunHistoryEncoder

+

RunHistoryEncoder

diff --git a/development/api/smac.intensifier.abstract_intensifier.html b/development/api/smac.intensifier.abstract_intensifier.html index b812ba7684..4241b364ee 100644 --- a/development/api/smac.intensifier.abstract_intensifier.html +++ b/development/api/smac.intensifier.abstract_intensifier.html @@ -1329,7 +1329,7 @@

Interfaces
Return type:
-

Iterator[TrialInfo]

+

Iterator[TrialInfo]

@@ -1340,7 +1340,7 @@

Interfacesself._tf_seeds and self._tf_instances. Moreover, the incumbents are updated.

Return type:
-

None

+

None

@@ -1365,7 +1365,7 @@

Interfaces
Return type:
-

Callback

+

Callback

@@ -1376,7 +1376,7 @@

Interfaces
Return type:
-

Optional[Configuration]

+

Optional[Configuration]

@@ -1388,7 +1388,7 @@

Interfaces
Return type:
-

list[InstanceSeedBudgetKey]

+

list[InstanceSeedBudgetKey]

@@ -1399,7 +1399,7 @@

Interfaces
Return type:
-

list[InstanceSeedBudgetKey]

+

list[InstanceSeedBudgetKey]

@@ -1411,7 +1411,7 @@

Interfaces
Return type:
-

list[Configuration]

+

list[Configuration]

Returns:

@@ -1469,7 +1469,7 @@

Interfaces
Return type:
-

list[Configuration]

+

list[Configuration]

@@ -1480,7 +1480,7 @@

Interfaces
Return type:
-

dict[str, Any]

+

dict[str, Any]

@@ -1492,7 +1492,7 @@

Interfacesget_instance_seed_keys_of_interest with the config.

Return type:
-

list[TrialInfo]

+

list[TrialInfo]

@@ -1509,7 +1509,7 @@

Interfaces
Return type:
-

None

+

None

@@ -1526,7 +1526,7 @@

Interfaces
Return type:
-

None

+

None

@@ -1544,7 +1544,7 @@

Interfaces
Return type:
-

None

+

None

@@ -1555,7 +1555,7 @@

Interfaces
Return type:
-

None

+

None

@@ -1590,7 +1590,7 @@

Interfaces
Return type:
-

None

+

None

diff --git a/development/api/smac.intensifier.html b/development/api/smac.intensifier.html index 2bc28e2860..2f3b2c72ad 100644 --- a/development/api/smac.intensifier.html +++ b/development/api/smac.intensifier.html @@ -1541,7 +1541,7 @@

Interfaces
Return type:
-

Iterator[TrialInfo]

+

Iterator[TrialInfo]

@@ -1552,7 +1552,7 @@

Interfacesself._tf_seeds and self._tf_instances. Moreover, the incumbents are updated.

Return type:
-

None

+

None

@@ -1577,7 +1577,7 @@

Interfaces
Return type:
-

Callback

+

Callback

@@ -1588,7 +1588,7 @@

Interfaces
Return type:
-

Optional[Configuration]

+

Optional[Configuration]

@@ -1600,7 +1600,7 @@

Interfaces
Return type:
-

list[InstanceSeedBudgetKey]

+

list[InstanceSeedBudgetKey]

@@ -1611,7 +1611,7 @@

Interfaces
Return type:
-

list[InstanceSeedBudgetKey]

+

list[InstanceSeedBudgetKey]

@@ -1623,7 +1623,7 @@

Interfaces
Return type:
-

list[Configuration]

+

list[Configuration]

Returns:

@@ -1681,7 +1681,7 @@

Interfaces
Return type:
-

list[Configuration]

+

list[Configuration]

@@ -1692,7 +1692,7 @@

Interfaces
Return type:
-

dict[str, Any]

+

dict[str, Any]

@@ -1704,7 +1704,7 @@

Interfacesget_instance_seed_keys_of_interest with the config.

Return type:
-

list[TrialInfo]

+

list[TrialInfo]

@@ -1721,7 +1721,7 @@

Interfaces
Return type:
-

None

+

None

@@ -1738,7 +1738,7 @@

Interfaces
Return type:
-

None

+

None

@@ -1756,7 +1756,7 @@

Interfaces
Return type:
-

None

+

None

@@ -1767,7 +1767,7 @@

Interfaces
Return type:
-

None

+

None

@@ -1802,7 +1802,7 @@

Interfaces
Return type:
-

None

+

None

@@ -1844,7 +1844,7 @@

Interfaces
Return type:
-

dict[str, Any]

+

dict[str, Any]

@@ -1855,7 +1855,7 @@

Interfaces
Return type:
-

None

+

None

@@ -1866,7 +1866,7 @@

Interfaces
Return type:
-

None

+

None

@@ -1931,7 +1931,7 @@

Interfaces
Return type:
-

dict[str, Any]

+

dict[str, Any]

@@ -1942,7 +1942,7 @@

Interfaces
Return type:
-

None

+

None

@@ -1953,7 +1953,7 @@

Interfaces
Return type:
-

None

+

None

@@ -2031,7 +2031,7 @@

Interfaces
Return type:
-

None

+

None

@@ -2051,7 +2051,7 @@

InterfacesReturn type: -

list[InstanceSeedBudgetKey]

+

list[InstanceSeedBudgetKey]

@@ -2062,7 +2062,7 @@

Interfaces
Return type:
-

dict[str, Any]

+

dict[str, Any]

@@ -2074,7 +2074,7 @@

Interfacesget_instance_seed_keys_of_interest with the config.

Return type:
-

list[TrialInfo]

+

list[TrialInfo]

@@ -2091,7 +2091,7 @@

Interfaces
Return type:
-

None

+

None

@@ -2102,7 +2102,7 @@

Interfaces
Return type:
-

None

+

None

@@ -2113,7 +2113,7 @@

Interfaces
Return type:
-

None

+

None

diff --git a/development/api/smac.intensifier.hyperband.html b/development/api/smac.intensifier.hyperband.html index c776828fdd..9e4785acd4 100644 --- a/development/api/smac.intensifier.hyperband.html +++ b/development/api/smac.intensifier.hyperband.html @@ -1099,7 +1099,7 @@

Interfaces
Return type:
-

dict[str, Any]

+

dict[str, Any]

@@ -1110,7 +1110,7 @@

Interfaces
Return type:
-

None

+

None

@@ -1121,7 +1121,7 @@

Interfaces
Return type:
-

None

+

None

diff --git a/development/api/smac.intensifier.intensifier.html b/development/api/smac.intensifier.intensifier.html index f94167a519..45e654c155 100644 --- a/development/api/smac.intensifier.intensifier.html +++ b/development/api/smac.intensifier.intensifier.html @@ -1182,7 +1182,7 @@

Interfaces
Return type:
-

dict[str, Any]

+

dict[str, Any]

@@ -1193,7 +1193,7 @@

Interfaces
Return type:
-

None

+

None

@@ -1204,7 +1204,7 @@

Interfaces
Return type:
-

None

+

None

diff --git a/development/api/smac.intensifier.successive_halving.html b/development/api/smac.intensifier.successive_halving.html index 2e94102b45..5da84d18d9 100644 --- a/development/api/smac.intensifier.successive_halving.html +++ b/development/api/smac.intensifier.successive_halving.html @@ -1213,7 +1213,7 @@

Interfaces
Return type:
-

None

+

None

@@ -1233,7 +1233,7 @@

InterfacesReturn type: -

list[InstanceSeedBudgetKey]

+

list[InstanceSeedBudgetKey]

@@ -1244,7 +1244,7 @@

Interfaces
Return type:
-

dict[str, Any]

+

dict[str, Any]

@@ -1256,7 +1256,7 @@

Interfacesget_instance_seed_keys_of_interest with the config.

Return type:
-

list[TrialInfo]

+

list[TrialInfo]

@@ -1273,7 +1273,7 @@

Interfaces
Return type:
-

None

+

None

@@ -1284,7 +1284,7 @@

Interfaces
Return type:
-

None

+

None

@@ -1295,7 +1295,7 @@

Interfaces
Return type:
-

None

+

None

diff --git a/development/api/smac.main.smbo.html b/development/api/smac.main.smbo.html index f12aeb0a4d..c6cfd72862 100644 --- a/development/api/smac.main.smbo.html +++ b/development/api/smac.main.smbo.html @@ -1294,7 +1294,7 @@

Interfaces

filename (str | Path) – The name of the folder of the SMAC run.

Return type:
-

bool

+

bool

@@ -1311,7 +1311,7 @@

Interfaces
Return type:
-

None

+

None

@@ -1344,7 +1344,7 @@

Interfaces
Return type:
-

None

+

None

@@ -1363,7 +1363,7 @@

InterfacesReturn type: -

None

+

None

@@ -1392,7 +1392,7 @@

Interfaces
Return type:
-

None

+

None

@@ -1409,7 +1409,7 @@

Interfaces
Return type:
-

None

+

None

@@ -1427,7 +1427,7 @@

InterfacesReturn type: -

None

+

None

@@ -1439,7 +1439,7 @@

Interfaces
Return type:
-

None

+

None

@@ -1450,7 +1450,7 @@

Interfaces
Return type:
-

None

+

None

diff --git a/development/api/smac.model.abstract_model.html b/development/api/smac.model.abstract_model.html index a29f311b1b..c387fe3900 100644 --- a/development/api/smac.model.abstract_model.html +++ b/development/api/smac.model.abstract_model.html @@ -1141,7 +1141,7 @@

InterfacesReturn type: -

tuple[ndarray, Optional[ndarray]]

+

tuple[ndarray, Optional[ndarray]]

Returns:

Return type:
-

tuple[ndarray, ndarray]

+

tuple[ndarray, ndarray]

Returns:

@@ -1323,7 +1323,7 @@

InterfacesReturn type: -

ndarray | tuple[ndarray, ndarray]

+

ndarray | tuple[ndarray, ndarray]

Returns:

diff --git a/development/api/smac.random_design.html b/development/api/smac.random_design.html index 935b1675e0..2a1a24fff5 100644 --- a/development/api/smac.random_design.html +++ b/development/api/smac.random_design.html @@ -1289,7 +1289,7 @@

Interfaces
Return type:
-

None

+

None

@@ -1341,7 +1341,7 @@

Interfacesself._probability.

Return type:
-

None

+

None

@@ -1394,7 +1394,7 @@

Interfaces
Return type:
-

None

+

None

@@ -1444,7 +1444,7 @@

Interfacesfactor.

Return type:
-

None

+

None

diff --git a/development/api/smac.random_design.modulus_design.html b/development/api/smac.random_design.modulus_design.html index 72463cf329..6fc225a2f7 100644 --- a/development/api/smac.random_design.modulus_design.html +++ b/development/api/smac.random_design.modulus_design.html @@ -1166,7 +1166,7 @@

Interfaces
Return type:
-

None

+

None

diff --git a/development/api/smac.random_design.probability_design.html b/development/api/smac.random_design.probability_design.html index 42d8508459..10c3ac16f8 100644 --- a/development/api/smac.random_design.probability_design.html +++ b/development/api/smac.random_design.probability_design.html @@ -1163,7 +1163,7 @@

Interfacesfactor.

Return type:
-

None

+

None

diff --git a/development/api/smac.runhistory.dataclasses.html b/development/api/smac.runhistory.dataclasses.html index 4ae42b0bd2..128d72a47c 100644 --- a/development/api/smac.runhistory.dataclasses.html +++ b/development/api/smac.runhistory.dataclasses.html @@ -1170,7 +1170,7 @@

Interfaces
Return type:
-

InstanceSeedKey

+

InstanceSeedKey

@@ -1230,7 +1230,7 @@

Interfaces
Return type:
-

InstanceSeedBudgetKey

+

InstanceSeedBudgetKey

@@ -1241,7 +1241,7 @@

Interfaces
Return type:
-

InstanceSeedKey

+

InstanceSeedKey

diff --git a/development/api/smac.runhistory.encoder.abstract_encoder.html b/development/api/smac.runhistory.encoder.abstract_encoder.html index 647a9c39fc..14492fe0c0 100644 --- a/development/api/smac.runhistory.encoder.abstract_encoder.html +++ b/development/api/smac.runhistory.encoder.abstract_encoder.html @@ -1192,7 +1192,7 @@

Interfaces

budget_subset (list | None, defaults to none) – List of budgets to consider.

Return type:
-

tuple[ndarray, ndarray]

+

tuple[ndarray, ndarray]

Returns:

diff --git a/development/api/smac.runhistory.encoder.html b/development/api/smac.runhistory.encoder.html index 602bc6615b..e84557f4e9 100644 --- a/development/api/smac.runhistory.encoder.html +++ b/development/api/smac.runhistory.encoder.html @@ -1322,7 +1322,7 @@

Interfaces

budget_subset (list | None, defaults to none) – List of budgets to consider.

Return type:
-

tuple[ndarray, ndarray]

+

tuple[ndarray, ndarray]

Returns:

@@ -1403,7 +1403,7 @@

Interfaces
Return type:
-

ndarray

+

ndarray

@@ -1420,7 +1420,7 @@

Interfaces
Return type:
-

ndarray

+

ndarray

@@ -1438,7 +1438,7 @@

Interfaces
Return type:
-

ndarray

+

ndarray

@@ -1455,7 +1455,7 @@

Interfaces
Return type:
-

ndarray

+

ndarray

@@ -1473,7 +1473,7 @@

Interfaces
Return type:
-

ndarray

+

ndarray

diff --git a/development/api/smac.runhistory.encoder.inverse_scaled_encoder.html b/development/api/smac.runhistory.encoder.inverse_scaled_encoder.html index 5c2a81c088..dedec6e7db 100644 --- a/development/api/smac.runhistory.encoder.inverse_scaled_encoder.html +++ b/development/api/smac.runhistory.encoder.inverse_scaled_encoder.html @@ -1081,7 +1081,7 @@

Interfaces
Return type:
-

ndarray

+

ndarray

diff --git a/development/api/smac.runhistory.encoder.log_encoder.html b/development/api/smac.runhistory.encoder.log_encoder.html index e417b5544a..e5ab62b03c 100644 --- a/development/api/smac.runhistory.encoder.log_encoder.html +++ b/development/api/smac.runhistory.encoder.log_encoder.html @@ -1080,7 +1080,7 @@

Interfaces
Return type:
-

ndarray

+

ndarray

diff --git a/development/api/smac.runhistory.encoder.log_scaled_encoder.html b/development/api/smac.runhistory.encoder.log_scaled_encoder.html index 9940b48739..b91892f8d1 100644 --- a/development/api/smac.runhistory.encoder.log_scaled_encoder.html +++ b/development/api/smac.runhistory.encoder.log_scaled_encoder.html @@ -1081,7 +1081,7 @@

Interfaces
Return type:
-

ndarray

+

ndarray

diff --git a/development/api/smac.runhistory.encoder.scaled_encoder.html b/development/api/smac.runhistory.encoder.scaled_encoder.html index cb7fef61d2..22f30dc49d 100644 --- a/development/api/smac.runhistory.encoder.scaled_encoder.html +++ b/development/api/smac.runhistory.encoder.scaled_encoder.html @@ -1080,7 +1080,7 @@

Interfaces
Return type:
-

ndarray

+

ndarray

diff --git a/development/api/smac.runhistory.encoder.sqrt_scaled_encoder.html b/development/api/smac.runhistory.encoder.sqrt_scaled_encoder.html index 62daef24cc..ff3e7dcf27 100644 --- a/development/api/smac.runhistory.encoder.sqrt_scaled_encoder.html +++ b/development/api/smac.runhistory.encoder.sqrt_scaled_encoder.html @@ -1081,7 +1081,7 @@

Interfaces
Return type:
-

ndarray

+

ndarray

diff --git a/development/api/smac.runhistory.html b/development/api/smac.runhistory.html index cc81d772d3..367048eff6 100644 --- a/development/api/smac.runhistory.html +++ b/development/api/smac.runhistory.html @@ -1498,7 +1498,7 @@

Interfaces
Return type:
-

InstanceSeedKey

+

InstanceSeedKey

@@ -1552,7 +1552,7 @@

Interfaces
Return type:
-

bool

+

bool

@@ -1563,7 +1563,7 @@

Interfaces
Return type:
-

bool

+

bool

@@ -1574,7 +1574,7 @@

Interfaces
Return type:
-

TrialValue

+

TrialValue

@@ -1585,7 +1585,7 @@

Interfaces
Return type:
-

Iterator[TrialKey]

+

Iterator[TrialKey]

@@ -1596,7 +1596,7 @@

Interfaces
Return type:
-

int

+

int

@@ -1622,7 +1622,7 @@

InterfacesReturn type: -

None

+

None

@@ -1636,7 +1636,7 @@

Interfaces

trial (TrialInfo) – The TrialInfo object of the running trial.

Return type:
-

None

+

None

@@ -1650,7 +1650,7 @@

Interfaces

trial (TrialInfo) – The TrialInfo object of the running trial.

Return type:
-

None

+

None

@@ -1713,7 +1713,7 @@

Interfaces
Return type:
-

Configuration

+

Configuration

@@ -1724,7 +1724,7 @@

Interfaces
Return type:
-

int

+

int

@@ -1886,7 +1886,7 @@

Interfaces
Return type:
-

bool

+

bool

@@ -1909,7 +1909,7 @@

InterfacesReturn type: -

None

+

None

@@ -1930,7 +1930,7 @@

InterfacesReturn type: -

None

+

None

@@ -1986,7 +1986,7 @@

Interfaces
Return type:
-

None

+

None

@@ -2006,7 +2006,7 @@

Interfaces

filename (str | Path, defaults to "runhistory.json") –

Return type:
-

None

+

None

@@ -2053,7 +2053,7 @@

Interfaces

runhistory (RunHistory) – RunHistory with additional data to be added to self

Return type:
-

None

+

None

@@ -2068,7 +2068,7 @@

Interfaces

config (Configuration) – configuration to update cost based on all trials in runhistory

Return type:
-

None

+

None

@@ -2083,7 +2083,7 @@

Interfaces

instances (list[str] | None, defaults to none) – List of instances; if given, cost is only computed wrt to this instance set.

Return type:
-

None

+

None

@@ -2100,7 +2100,7 @@

InterfacesReturn type: -

None

+

None

@@ -2135,7 +2135,7 @@

Interfaces
Return type:
-

InstanceSeedBudgetKey

+

InstanceSeedBudgetKey

@@ -2146,7 +2146,7 @@

Interfaces
Return type:
-

InstanceSeedKey

+

InstanceSeedKey

diff --git a/development/api/smac.runhistory.runhistory.html b/development/api/smac.runhistory.runhistory.html index c3dcce63b0..60756202e9 100644 --- a/development/api/smac.runhistory.runhistory.html +++ b/development/api/smac.runhistory.runhistory.html @@ -1435,7 +1435,7 @@

Interfaces
Return type:
-

bool

+

bool

@@ -1446,7 +1446,7 @@

Interfaces
Return type:
-

bool

+

bool

@@ -1457,7 +1457,7 @@

Interfaces
Return type:
-

TrialValue

+

TrialValue

@@ -1468,7 +1468,7 @@

Interfaces
Return type:
-

Iterator[TrialKey]

+

Iterator[TrialKey]

@@ -1479,7 +1479,7 @@

Interfaces
Return type:
-

int

+

int

@@ -1505,7 +1505,7 @@

InterfacesReturn type: -

None

+

None

@@ -1519,7 +1519,7 @@

Interfaces

trial (TrialInfo) – The TrialInfo object of the running trial.

Return type:
-

None

+

None

@@ -1533,7 +1533,7 @@

Interfaces

trial (TrialInfo) – The TrialInfo object of the running trial.

Return type:
-

None

+

None

@@ -1596,7 +1596,7 @@

Interfaces
Return type:
-

Configuration

+

Configuration

@@ -1607,7 +1607,7 @@

Interfaces
Return type:
-

int

+

int

@@ -1769,7 +1769,7 @@

Interfaces
Return type:
-

bool

+

bool

@@ -1792,7 +1792,7 @@

InterfacesReturn type: -

None

+

None

@@ -1813,7 +1813,7 @@

InterfacesReturn type: -

None

+

None

@@ -1869,7 +1869,7 @@

Interfaces
Return type:
-

None

+

None

@@ -1889,7 +1889,7 @@

Interfaces

filename (str | Path, defaults to "runhistory.json") –

Return type:
-

None

+

None

@@ -1936,7 +1936,7 @@

Interfaces

runhistory (RunHistory) – RunHistory with additional data to be added to self

Return type:
-

None

+

None

@@ -1951,7 +1951,7 @@

Interfaces

config (Configuration) – configuration to update cost based on all trials in runhistory

Return type:
-

None

+

None

@@ -1966,7 +1966,7 @@

Interfaces

instances (list[str] | None, defaults to none) – List of instances; if given, cost is only computed wrt to this instance set.

Return type:
-

None

+

None

@@ -1983,7 +1983,7 @@

InterfacesReturn type: -

None

+

None

diff --git a/development/api/smac.runner.abstract_runner.html b/development/api/smac.runner.abstract_runner.html index b87531efc7..9a3eedbdf3 100644 --- a/development/api/smac.runner.abstract_runner.html +++ b/development/api/smac.runner.abstract_runner.html @@ -1171,7 +1171,7 @@

Interfaces
Return type:
-

int

+

int

@@ -1184,7 +1184,7 @@

Interfaces
Return type:
-

bool

+

bool

@@ -1229,7 +1229,7 @@

InterfacesReturn type: -

tuple[StatusType, float | list[float], float, dict]

+

tuple[StatusType, float | list[float], float, dict]

Returns:

@@ -1299,7 +1299,7 @@

Interfaces
Return type:
-

None

+

None

diff --git a/development/api/smac.runner.abstract_serial_runner.html b/development/api/smac.runner.abstract_serial_runner.html index 9bbee71452..cc58d27e0e 100644 --- a/development/api/smac.runner.abstract_serial_runner.html +++ b/development/api/smac.runner.abstract_serial_runner.html @@ -1116,7 +1116,7 @@

Interfaces
Return type:
-

int

+

int

@@ -1129,7 +1129,7 @@

Interfaces
Return type:
-

bool

+

bool

@@ -1166,7 +1166,7 @@

Interfaces

trial_info (TrialInfo) – An object containing the configuration launched.

Return type:
-

None

+

None

@@ -1178,7 +1178,7 @@

Interfaces
Return type:
-

None

+

None

diff --git a/development/api/smac.runner.dask_runner.html b/development/api/smac.runner.dask_runner.html index f32febb808..eb8ba24638 100644 --- a/development/api/smac.runner.dask_runner.html +++ b/development/api/smac.runner.dask_runner.html @@ -1175,7 +1175,7 @@

Interfaces
Return type:
-

None

+

None

@@ -1186,7 +1186,7 @@

Interfaces
Return type:
-

None

+

None

@@ -1198,7 +1198,7 @@

Interfaces
Return type:
-

int

+

int

@@ -1211,7 +1211,7 @@

Interfaces
Return type:
-

bool

+

bool

@@ -1250,7 +1250,7 @@

InterfacesReturn type: -

tuple[StatusType, float | list[float], float, dict]

+

tuple[StatusType, float | list[float], float, dict]

Returns:

@@ -1301,7 +1301,7 @@

Interfaces
Return type:
-

None

+

None

diff --git a/development/api/smac.runner.html b/development/api/smac.runner.html index 09a2cef4ef..2c211453b9 100644 --- a/development/api/smac.runner.html +++ b/development/api/smac.runner.html @@ -1300,7 +1300,7 @@

Interfaces
Return type:
-

int

+

int

@@ -1313,7 +1313,7 @@

Interfaces
Return type:
-

bool

+

bool

@@ -1358,7 +1358,7 @@

InterfacesReturn type: -

tuple[StatusType, float | list[float], float, dict]

+

tuple[StatusType, float | list[float], float, dict]

Returns:

@@ -1428,7 +1428,7 @@

Interfaces
Return type:
-

None

+

None

@@ -1477,7 +1477,7 @@

Interfaces
Return type:
-

None

+

None

@@ -1488,7 +1488,7 @@

Interfaces
Return type:
-

None

+

None

@@ -1500,7 +1500,7 @@

Interfaces
Return type:
-

int

+

int

@@ -1513,7 +1513,7 @@

Interfaces
Return type:
-

bool

+

bool

@@ -1552,7 +1552,7 @@

InterfacesReturn type: -

tuple[StatusType, float | list[float], float, dict]

+

tuple[StatusType, float | list[float], float, dict]

Returns:

@@ -1603,7 +1603,7 @@

Interfaces
Return type:
-

None

+

None

@@ -1650,7 +1650,7 @@

Interfacesrun method.

Return type:
-

float | list[float] | dict[str, float] | tuple[float, dict] | tuple[list[float], dict] | tuple[dict[str, float], dict]

+

float | list[float] | dict[str, float] | tuple[float, dict] | tuple[list[float], dict] | tuple[dict[str, float], dict]

@@ -1684,7 +1684,7 @@

InterfacesReturn type: -

tuple[StatusType, float | list[float], float, dict]

+

tuple[StatusType, float | list[float], float, dict]

Returns:

@@ -1146,7 +1146,7 @@

InterfacesReturn type: -

tuple[StatusType, float | list[float], float, dict]

+

tuple[StatusType, float | list[float], float, dict]

Returns:

    diff --git a/development/api/smac.runner.target_function_script_runner.html b/development/api/smac.runner.target_function_script_runner.html index 51b779518e..a43b2a58ab 100644 --- a/development/api/smac.runner.target_function_script_runner.html +++ b/development/api/smac.runner.target_function_script_runner.html @@ -1124,7 +1124,7 @@

    Interfacesrun method.

    Return type:
    -

    tuple[str, str]

    +

    tuple[str, str]

@@ -1150,7 +1150,7 @@

InterfacesReturn type: -

tuple[StatusType, float | list[float], float, dict]

+

tuple[StatusType, float | list[float], float, dict]

Returns:

    diff --git a/development/api/smac.scenario.html b/development/api/smac.scenario.html index 1d9b1ca466..3976d1a1df 100644 --- a/development/api/smac.scenario.html +++ b/development/api/smac.scenario.html @@ -1176,7 +1176,7 @@

    Interfaces
    Return type:
    -

    None

    +

    None

@@ -1187,7 +1187,7 @@

Interfaces
Return type:
-

int

+

int

@@ -1198,7 +1198,7 @@

Interfaces
Return type:
-

int

+

int

@@ -1209,7 +1209,7 @@

Interfaces
Return type:
-

Scenario

+

Scenario

@@ -1220,7 +1220,7 @@

Interfaces
Return type:
-

dict[str, Any]

+

dict[str, Any]

@@ -1241,7 +1241,7 @@

Interfaces
Return type:
-

None

+

None

diff --git a/development/api/smac.utils.configspace.html b/development/api/smac.utils.configspace.html index ce9f063f22..6eafc16ce2 100644 --- a/development/api/smac.utils.configspace.html +++ b/development/api/smac.utils.configspace.html @@ -1128,7 +1128,7 @@

Interfaces
Return type:
-

ndarray

+

ndarray

@@ -1139,7 +1139,7 @@

Interfaces
Return type:
-

str

+

str

@@ -1149,7 +1149,7 @@

Interfacessmac.utils.configspace.get_types(configspace, instance_features=None)[source]

Return the types of the hyperparameters and the bounds of the hyperparameters and instance features. -:rtype: tuple[list[int], list[tuple[float, float]]]

+:rtype: tuple[list[int], list[tuple[float, float]]]

Warning

The bounds for the instance features are not added in this function.

@@ -1162,7 +1162,7 @@

Interfaces
Return type:
-

None

+

None

diff --git a/development/api/smac.utils.data_structures.html b/development/api/smac.utils.data_structures.html index de9e6a77d0..d87c78008f 100644 --- a/development/api/smac.utils.data_structures.html +++ b/development/api/smac.utils.data_structures.html @@ -1077,7 +1077,7 @@

Interfaces
Return type:
-

Iterable[list]

+

Iterable[list]

diff --git a/development/api/smac.utils.logging.html b/development/api/smac.utils.logging.html index f3d6693a52..25f303ddf1 100644 --- a/development/api/smac.utils.logging.html +++ b/development/api/smac.utils.logging.html @@ -1077,7 +1077,7 @@

Interfaces
Return type:
-

Logger

+

Logger

@@ -1092,7 +1092,7 @@

InterfacesReturn type: -

None

+

None

diff --git a/development/examples/1_basics/1_quadratic_function.html b/development/examples/1_basics/1_quadratic_function.html index 29595940ea..9194b8cd37 100644 --- a/development/examples/1_basics/1_quadratic_function.html +++ b/development/examples/1_basics/1_quadratic_function.html @@ -1061,7 +1061,7 @@

-
import numpy as np
+
import numpy as np
 from ConfigSpace import Configuration, ConfigurationSpace, Float
 from matplotlib import pyplot as plt
 
@@ -1135,17 +1135,17 @@
     plot(smac.runhistory, incumbent)
 

 

-
Total running time of the script: (0 minutes 2.986 seconds)

+
Total running time of the script: (0 minutes 2.398 seconds)

 
 
 
diff --git a/development/examples/1_basics/2_svm_cv.html b/development/examples/1_basics/2_svm_cv.html
index 13e988b5fa..25552a2d27 100644
--- a/development/examples/1_basics/2_svm_cv.html
+++ b/development/examples/1_basics/2_svm_cv.html
@@ -1316,83 +1316,83 @@
 
 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/numpy/lib/function_base.py:4655: RuntimeWarning: invalid value encountered in subtract
   diff_b_a = subtract(b, a)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
 /home/runner/work/SMAC3/SMAC3/examples/1_basics/2_svm_cv.py:57: DeprecationWarning: `Configuration` act's like a dictionary. Please use `dict(config)` instead of `get_dictionary` if you explicitly need a `dict`
   config_dict = config.get_dictionary()
@@ -1878,105 +1878,105 @@
 
 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/numpy/lib/function_base.py:4655: RuntimeWarning: invalid value encountered in subtract
   diff_b_a = subtract(b, a)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
 /home/runner/work/SMAC3/SMAC3/examples/1_basics/2_svm_cv.py:57: DeprecationWarning: `Configuration` act's like a dictionary. Please use `dict(config)` instead of `get_dictionary` if you explicitly need a `dict`
   config_dict = config.get_dictionary()
@@ -2232,7 +2232,7 @@
 

 


 

-
import numpy as np
+
import numpy as np
 from ConfigSpace import Categorical, Configuration, ConfigurationSpace, Float, Integer
 from ConfigSpace.conditions import InCondition
 from sklearn import datasets, svm
@@ -2322,17 +2322,17 @@
     print(f"Incumbent cost: {incumbent_cost}")
 

 

-
Total running time of the script: (0 minutes 1.017 seconds)

+
Total running time of the script: (0 minutes 0.788 seconds)

 
 
 
diff --git a/development/examples/1_basics/3_ask_and_tell.html b/development/examples/1_basics/3_ask_and_tell.html
index 637f26260c..355e70ae12 100644
--- a/development/examples/1_basics/3_ask_and_tell.html
+++ b/development/examples/1_basics/3_ask_and_tell.html
@@ -1031,27 +1031,25 @@
 [INFO][abstract_intensifier.py:515] Added config 38310a as new incumbent because there are no incumbents yet.
 [INFO][abstract_intensifier.py:594] Added config a840bc and rejected config 38310a as incumbent because it is not better than the incumbents on 1 instances:
 [INFO][abstract_intensifier.py:594] Added config e8ddec and rejected config a840bc as incumbent because it is not better than the incumbents on 1 instances:
-[INFO][abstract_intensifier.py:594] Added config a9b60d and rejected config e8ddec as incumbent because it is not better than the incumbents on 1 instances:
-[INFO][abstract_intensifier.py:594] Added config 96f88f and rejected config a9b60d as incumbent because it is not better than the incumbents on 1 instances:
-[INFO][abstract_intensifier.py:594] Added config 0d4e03 and rejected config 96f88f as incumbent because it is not better than the incumbents on 1 instances:
+[INFO][abstract_intensifier.py:594] Added config e74ba7 and rejected config e8ddec as incumbent because it is not better than the incumbents on 1 instances:
 [INFO][smbo.py:319] Finished 50 trials.
-[INFO][abstract_intensifier.py:594] Added config 737ab9 and rejected config 0d4e03 as incumbent because it is not better than the incumbents on 1 instances:
-[INFO][abstract_intensifier.py:594] Added config eeebb9 and rejected config 737ab9 as incumbent because it is not better than the incumbents on 1 instances:
-[INFO][abstract_intensifier.py:594] Added config 6d9074 and rejected config eeebb9 as incumbent because it is not better than the incumbents on 1 instances:
-[INFO][abstract_intensifier.py:594] Added config a0e706 and rejected config 6d9074 as incumbent because it is not better than the incumbents on 1 instances:
+[INFO][abstract_intensifier.py:594] Added config 1eebbc and rejected config e74ba7 as incumbent because it is not better than the incumbents on 1 instances:
+[INFO][abstract_intensifier.py:594] Added config f01c34 and rejected config 1eebbc as incumbent because it is not better than the incumbents on 1 instances:
+[INFO][abstract_intensifier.py:594] Added config 1df946 and rejected config f01c34 as incumbent because it is not better than the incumbents on 1 instances:
+[INFO][abstract_intensifier.py:594] Added config 535c5d and rejected config 1df946 as incumbent because it is not better than the incumbents on 1 instances:
 [INFO][smbo.py:319] Finished 100 trials.
 [INFO][smbo.py:327] Configuration budget is exhausted:
 [INFO][smbo.py:328] --- Remaining wallclock time: inf
 [INFO][smbo.py:329] --- Remaining cpu time: inf
 [INFO][smbo.py:330] --- Remaining trials: 0
 Default cost: 16916.0
-Incumbent cost: 0.8499771879028607
+Incumbent cost: 1.1183978687059386
 

 

 

 


 

-
from ConfigSpace import Configuration, ConfigurationSpace, Float
+
from ConfigSpace import Configuration, ConfigurationSpace, Float
 
 from smac import HyperparameterOptimizationFacade, Scenario
 from smac.runhistory.dataclasses import TrialValue
@@ -1127,17 +1125,17 @@
     print(f"Incumbent cost: {incumbent_cost}")
 

 

-
Total running time of the script: (0 minutes 3.533 seconds)

+
Total running time of the script: (0 minutes 2.636 seconds)

 
 
 
diff --git a/development/examples/1_basics/4_callback.html b/development/examples/1_basics/4_callback.html
index f15a0deef2..6920411952 100644
--- a/development/examples/1_basics/4_callback.html
+++ b/development/examples/1_basics/4_callback.html
@@ -1059,7 +1059,7 @@
 

 


 

-
from __future__ import annotations
+
from __future__ import annotations
 
 from ConfigSpace import Configuration, ConfigurationSpace, Float
 
@@ -1133,17 +1133,17 @@
     ).optimize()
 

 

-
Total running time of the script: (0 minutes 0.180 seconds)

+
Total running time of the script: (0 minutes 0.147 seconds)

 
 
 
diff --git a/development/examples/1_basics/5_continue.html b/development/examples/1_basics/5_continue.html
index 29aed4f3d5..2e2a2681eb 100644
--- a/development/examples/1_basics/5_continue.html
+++ b/development/examples/1_basics/5_continue.html
@@ -1069,7 +1069,7 @@
 

 


 

-
from __future__ import annotations
+
from __future__ import annotations
 
 from ConfigSpace import Configuration, ConfigurationSpace, Float
 
@@ -1155,17 +1155,17 @@
     print(f"Incumbent cost of continued run: {incumbent_cost}")
 

 

-
Total running time of the script: (0 minutes 0.982 seconds)

+
Total running time of the script: (0 minutes 0.814 seconds)

 
 
 
diff --git a/development/examples/1_basics/6_priors.html b/development/examples/1_basics/6_priors.html
index 20e23af656..a5db9c13c6 100644
--- a/development/examples/1_basics/6_priors.html
+++ b/development/examples/1_basics/6_priors.html
@@ -1037,21 +1037,21 @@
 [WARNING][prior_acqusition_function.py:107] Discretizing the prior for random forest models.
 [INFO][abstract_intensifier.py:515] Added config 7ec7fe as new incumbent because there are no incumbents yet.
 [INFO][abstract_intensifier.py:594] Added config 6acb23 and rejected config 7ec7fe as incumbent because it is not better than the incumbents on 1 instances:
-[INFO][abstract_intensifier.py:594] Added config 95309e and rejected config 6acb23 as incumbent because it is not better than the incumbents on 1 instances:
-[INFO][abstract_intensifier.py:594] Added config 87ba17 and rejected config 95309e as incumbent because it is not better than the incumbents on 1 instances:
-[INFO][abstract_intensifier.py:594] Added config a3d1bd and rejected config 87ba17 as incumbent because it is not better than the incumbents on 1 instances:
+[INFO][abstract_intensifier.py:594] Added config 37a8e7 and rejected config 6acb23 as incumbent because it is not better than the incumbents on 1 instances:
+[INFO][abstract_intensifier.py:594] Added config 5b96ec and rejected config 37a8e7 as incumbent because it is not better than the incumbents on 1 instances:
+[INFO][abstract_intensifier.py:594] Added config 35cf09 and rejected config 5b96ec as incumbent because it is not better than the incumbents on 1 instances:
 [INFO][smbo.py:327] Configuration budget is exhausted:
 [INFO][smbo.py:328] --- Remaining wallclock time: inf
 [INFO][smbo.py:329] --- Remaining cpu time: inf
 [INFO][smbo.py:330] --- Remaining trials: 0
 Default cost: 0.038952336737852145
-Default cost: 0.026719281956050667
+Default cost: 0.02727174249458364
 

 

 

 


 

-
import warnings
+
import warnings
 
 import numpy as np
 from ConfigSpace import (
@@ -1212,17 +1212,17 @@
     print(f"Default cost: {incumbent_cost}")
 

 

-
Total running time of the script: (0 minutes 29.828 seconds)

+
Total running time of the script: (0 minutes 24.000 seconds)

 
 
 
diff --git a/development/examples/1_basics/sg_execution_times.html b/development/examples/1_basics/sg_execution_times.html
index 2b54796355..16e0402fec 100644
--- a/development/examples/1_basics/sg_execution_times.html
+++ b/development/examples/1_basics/sg_execution_times.html
@@ -1019,35 +1019,54 @@
                 
   

 
Computation times

-
00:38.526 total execution time for examples_1_basics files:

-
-
-
-
-
+
00:30.783 total execution time for 6 files from examples/1_basics:

+

+
+
+
+
+
User Priors over the Optimum (6_priors.py)
00:29.828
0.0 MB

+
+
+
+
-
-
-
+
+
+
+
+
-
-
-
+
+
+
-
-
-
+
+
+
-
-
+
+
-
-
-
+
+
+
+
+
+
+
Example
Time
Mem (MB)

 
Ask-and-Tell (3_ask_and_tell.py)
00:03.533
0.0 MB
User Priors over the Optimum (6_priors.py)
00:24.000
0.0

 
Quadratic Function (1_quadratic_function.py)
00:02.986
0.0 MB
Ask-and-Tell (3_ask_and_tell.py)
00:02.636
0.0

 
Support Vector Machine with Cross-Validation (2_svm_cv.py)
00:01.017
0.0 MB
Quadratic Function (1_quadratic_function.py)
00:02.398
0.0

 

 
Continue an Optimization (5_continue.py)
00:00.982
0.0 MB
00:00.814
0.0

 
Custom Callback (4_callback.py)
00:00.180
0.0 MB
Support Vector Machine with Cross-Validation (2_svm_cv.py)
00:00.788
0.0
Custom Callback (4_callback.py)
00:00.147
0.0

 

 
 

+

 
 
 
diff --git a/development/examples/2_multi_fidelity/1_mlp_epochs.html b/development/examples/2_multi_fidelity/1_mlp_epochs.html
index b6a75ad6a0..a48a573fc8 100644
--- a/development/examples/2_multi_fidelity/1_mlp_epochs.html
+++ b/development/examples/2_multi_fidelity/1_mlp_epochs.html
@@ -1056,22 +1056,21 @@
 [INFO][smbo.py:319] Finished 0 trials.
 [INFO][smbo.py:319] Finished 0 trials.
 [INFO][smbo.py:319] Finished 50 trials.
-[INFO][smbo.py:319] Finished 50 trials.
 [INFO][abstract_intensifier.py:515] Added config 72f7f7 as new incumbent because there are no incumbents yet.
 [INFO][abstract_intensifier.py:594] Added config 9d67d8 and rejected config 72f7f7 as incumbent because it is not better than the incumbents on 1 instances:
-[INFO][smbo.py:319] Finished 100 trials.
-[INFO][abstract_intensifier.py:594] Added config 9cf2fd and rejected config 9d67d8 as incumbent because it is not better than the incumbents on 1 instances:
+[INFO][abstract_intensifier.py:594] Added config 67ee32 and rejected config 9d67d8 as incumbent because it is not better than the incumbents on 1 instances:
+[INFO][smbo.py:319] Finished 150 trials.
 [INFO][smbo.py:327] Configuration budget is exhausted:
-[INFO][smbo.py:328] --- Remaining wallclock time: -0.018138885498046875
+[INFO][smbo.py:328] --- Remaining wallclock time: -0.1092691421508789
 [INFO][smbo.py:329] --- Remaining cpu time: inf
-[INFO][smbo.py:330] --- Remaining trials: 386
+[INFO][smbo.py:330] --- Remaining trials: 319
 Default cost (SuccessiveHalving): 0.36672856700711853
 Incumbent cost (SuccessiveHalving): 0.017254719900959392
 [INFO][abstract_initial_design.py:82] Using `n_configs` and ignoring `n_configs_per_hyperparameter`.
 [INFO][abstract_facade.py:200] Workers are reduced to 8.
 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/distributed/node.py:182: UserWarning: Port 8787 is already in use.
 Perhaps you already have a cluster running?
-Hosting the HTTP server on port 44837 instead
+Hosting the HTTP server on port 40831 instead
   warnings.warn(
 [INFO][abstract_initial_design.py:147] Using 5 initial design configurations and 0 additional configurations.
 [INFO][successive_halving.py:164] Successive Halving uses budget type BUDGETS with eta 3, min budget 1, and max budget 25.
@@ -1095,9 +1094,9 @@
 [INFO][abstract_intensifier.py:594] Added config efc781 and rejected config ceb3eb as incumbent because it is not better than the incumbents on 1 instances:
 [INFO][abstract_intensifier.py:594] Added config 9d67d8 and rejected config efc781 as incumbent because it is not better than the incumbents on 1 instances:
 [INFO][smbo.py:327] Configuration budget is exhausted:
-[INFO][smbo.py:328] --- Remaining wallclock time: -1.565629482269287
+[INFO][smbo.py:328] --- Remaining wallclock time: -0.7150156497955322
 [INFO][smbo.py:329] --- Remaining cpu time: inf
-[INFO][smbo.py:330] --- Remaining trials: 417
+[INFO][smbo.py:330] --- Remaining trials: 393
 Default cost (Hyperband): 0.36672856700711853
 Incumbent cost (Hyperband): 0.0178087279480037
 

@@ -1105,7 +1104,7 @@
 

 


 

-
import warnings
+
import warnings
 
 import matplotlib.pyplot as plt
 import numpy as np
@@ -1270,17 +1269,17 @@
     plot_trajectory(facades)
 

 

-
Total running time of the script: (2 minutes 35.449 seconds)

+
Total running time of the script: (2 minutes 28.424 seconds)

 
 
 
diff --git a/development/examples/2_multi_fidelity/2_sgd_datasets.html b/development/examples/2_multi_fidelity/2_sgd_datasets.html
index cda534e7c6..f07104113a 100644
--- a/development/examples/2_multi_fidelity/2_sgd_datasets.html
+++ b/development/examples/2_multi_fidelity/2_sgd_datasets.html
@@ -1056,18 +1056,21 @@
 [INFO][smbo.py:319] Finished 200 trials.
 [INFO][smbo.py:319] Finished 250 trials.
 [INFO][smbo.py:319] Finished 300 trials.
+[INFO][smbo.py:319] Finished 350 trials.
+[INFO][abstract_intensifier.py:594] Added config 3c910e and rejected config 884840 as incumbent because it is not better than the incumbents on 45 instances:
+[INFO][smbo.py:319] Finished 400 trials.
 [INFO][smbo.py:327] Configuration budget is exhausted:
-[INFO][smbo.py:328] --- Remaining wallclock time: -0.05354905128479004
+[INFO][smbo.py:328] --- Remaining wallclock time: -0.015347719192504883
 [INFO][smbo.py:329] --- Remaining cpu time: inf
-[INFO][smbo.py:330] --- Remaining trials: 4664
+[INFO][smbo.py:330] --- Remaining trials: 4561
 Default cost: 0.15489347419148672
-Incumbent cost: 0.006249006102246613
+Incumbent cost: 0.005937605060508486
 

 

 

 


 

-
from __future__ import annotations
+
from __future__ import annotations
 
 import itertools
 import warnings
@@ -1193,17 +1196,17 @@
     print(f"Incumbent cost: {incumbent_cost}")
 

 

-
Total running time of the script: (0 minutes 38.110 seconds)

+
Total running time of the script: (0 minutes 35.078 seconds)

 
 
 
diff --git a/development/examples/2_multi_fidelity/sg_execution_times.html b/development/examples/2_multi_fidelity/sg_execution_times.html
index 8018b65d0b..5be53b5205 100644
--- a/development/examples/2_multi_fidelity/sg_execution_times.html
+++ b/development/examples/2_multi_fidelity/sg_execution_times.html
@@ -1019,19 +1019,38 @@
                 
   

 
Computation times

-
03:13.559 total execution time for examples_2_multi_fidelity files:

-
+
03:03.502 total execution time for 2 files from examples/2_multi_fidelity:

+

+
+
+
+
+

+
+
+
+
+
+
-
-
-
+
+
+
-
-
-
+
+
+
Example
Time
Mem (MB)

 
Multi-Layer Perceptron Using Multiple Epochs (1_mlp_epochs.py)
02:35.449
0.0 MB
Multi-Layer Perceptron Using Multiple Epochs (1_mlp_epochs.py)
02:28.424
0.0

 
Stochastic Gradient Descent On Multiple Datasets (2_sgd_datasets.py)
00:38.110
0.0 MB
Stochastic Gradient Descent On Multiple Datasets (2_sgd_datasets.py)
00:35.078
0.0

 

 
 

+

 
 
 
diff --git a/development/examples/3_multi_objective/1_schaffer.html b/development/examples/3_multi_objective/1_schaffer.html
index 7d2eb91edc..d52c747619 100644
--- a/development/examples/3_multi_objective/1_schaffer.html
+++ b/development/examples/3_multi_objective/1_schaffer.html
@@ -1170,158 +1170,158 @@
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
 [INFO][abstract_intensifier.py:602] Config 00947e is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 7e03ee is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 623aaa is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
 [INFO][abstract_intensifier.py:602] Config e7652a is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 5f1f68 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config c17b3b is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
 [INFO][abstract_intensifier.py:602] Config c9a4ab is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 26907e is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config c78bba is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
 [INFO][abstract_intensifier.py:602] Config f523f5 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 940870 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config d5d9b3 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config f21a6e is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 050956 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
 [INFO][abstract_intensifier.py:602] Config 04cf46 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config e3e1fc is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config cd933e is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
+[INFO][abstract_intensifier.py:602] Config 6a4a47 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
 [INFO][abstract_intensifier.py:602] Config 7cab7f is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 4abdbb is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config a882a8 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 65680c is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config cfe943 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 257ec9 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 161437 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 0ffa3c is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config eb7876 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 3e7b8c is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 257ec9 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config b61ca9 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 0038ea is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 1e70ce is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config b779c7 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
 [INFO][abstract_intensifier.py:602] Config 9621a8 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
 [INFO][abstract_intensifier.py:602] Config 26d5a4 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config aa878c is a new incumbent. Total number of incumbents: 11.
-[INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config c40c4c is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config fff544 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config a88778 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config ea6007 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 6e1528 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 850574 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 0e4ddc is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 405f05 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 8ae00c is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 016225 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
 [INFO][smbo.py:319] Finished 100 trials.
-[INFO][abstract_intensifier.py:602] Config 2fb8e3 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config c6f7e7 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 313866 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config b62dbe is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 9a849e is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 5b4ebd is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config bf6ee6 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config dff21b is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 1c3721 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config c13f17 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config d6acb8 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config ef6d00 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 2e23af is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 4051b5 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config d2a8ac is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 03d947 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 49eabf is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config d2a8ac is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 17755d is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 4ee072 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
 [INFO][abstract_intensifier.py:602] Config e4515e is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 3c0836 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config a241bb is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 657da4 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config c2b5f5 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 75e08e is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 2b4703 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 9ec620 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 1d3f71 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 1b701e is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 09c690 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 38990f is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 980177 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 9adac9 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 18b4fb is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 9b50d4 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 5889c8 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config eb89b7 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 38990f is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 299174 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config af00a5 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 2ff038 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 6ea6dc is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 4d31e6 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config caf420 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config c00b70 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config be6467 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 04b3b4 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config a2cbcd is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 4c851f is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config f3c58a is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 1d8cc2 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 31cac4 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 74b413 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 04b3b4 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config ce98d7 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 62390f is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 6635ed is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config f4d7f6 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 5448e7 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config e6e911 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 0f10d0 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 46a579 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 409930 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 973900 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 39f1ae is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 818cbb is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 02e0b8 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 7c3c4a is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 5ebade is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 6582db is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 0b0993 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config d6935c is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config cd13ee is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config cd4c2b is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 04173b is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config dd5f9b is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 8d020c is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 8cae70 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 90b0e6 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 759585 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config b5b43a is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 470bcf is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 6ef076 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 36943e is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 174106 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 624738 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config c5f14e is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 0d9f14 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 5c0b56 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 2f3430 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 2b710a is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 2215da is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 6a9164 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 80f804 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config a37eca is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 9ceac5 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 29ed99 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config b49511 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
 [INFO][smbo.py:319] Finished 150 trials.
 [INFO][smbo.py:327] Configuration budget is exhausted:
@@ -1334,21 +1334,21 @@
 
 Validated costs from the Pareto front (incumbents):
 --- [0.01538581 3.51922763]
---- [3.81477017e+00 2.19551629e-03]
+--- [3.98157338e+00 2.12703017e-05]
 --- [0.66494111 1.40318427]
---- [0.28063773 2.16162765]
---- [1.21948125 0.80227625]
+--- [0.27572929 2.17533202]
+--- [1.23793885 0.78743083]
 --- [0.09228592 2.87714199]
 --- [3.16368713 0.04898446]
---- [2.51598724 0.17124171]
---- [1.60303937 0.53859173]
---- [2.0255363  0.33268282]
+--- [2.5425014  0.16441216]
+--- [1.56462636 0.56122534]
+--- [2.01575389 0.33666398]
 

 

 

 


 

-
from __future__ import annotations
+
from __future__ import annotations
 
 from typing import Dict, Tuple
 
@@ -1446,17 +1446,17 @@
     plot_from_smac(smac)
 

 

-
Total running time of the script: (0 minutes 12.196 seconds)

+
Total running time of the script: (0 minutes 8.490 seconds)

 
 
 
diff --git a/development/examples/3_multi_objective/2_parego.html b/development/examples/3_multi_objective/2_parego.html
index 18fdd9f33f..0a67180058 100644
--- a/development/examples/3_multi_objective/2_parego.html
+++ b/development/examples/3_multi_objective/2_parego.html
@@ -1035,26 +1035,34 @@
 [INFO][abstract_initial_design.py:147] Using 5 initial design configurations and 0 additional configurations.
 [INFO][abstract_intensifier.py:515] Added config 3623cc as new incumbent because there are no incumbents yet.
 [INFO][abstract_intensifier.py:602] Config 540db2 is a new incumbent. Total number of incumbents: 2.
-[INFO][abstract_intensifier.py:602] Config 3b5efd is a new incumbent. Total number of incumbents: 3.
-[INFO][abstract_intensifier.py:594] Added config edca48 and rejected config 503b4b as incumbent because it is not better than the incumbents on 2 instances:
-[INFO][abstract_intensifier.py:602] Config 99f86d is a new incumbent. Total number of incumbents: 3.
+[INFO][abstract_intensifier.py:602] Config 0c9159 is a new incumbent. Total number of incumbents: 3.
+[INFO][abstract_intensifier.py:602] Config f81150 is a new incumbent. Total number of incumbents: 3.
+[INFO][abstract_intensifier.py:594] Added config 9fd03c and rejected config f81150 as incumbent because it is not better than the incumbents on 2 instances:
+[INFO][abstract_intensifier.py:602] Config b92f9f is a new incumbent. Total number of incumbents: 4.
+[INFO][abstract_intensifier.py:594] Added config 2895a7 and rejected config 3b5efd as incumbent because it is not better than the incumbents on 2 instances:
+[INFO][abstract_intensifier.py:594] Added config 978294 and rejected config 9fd03c as incumbent because it is not better than the incumbents on 2 instances:
+[INFO][abstract_intensifier.py:602] Config 1b01ec is a new incumbent. Total number of incumbents: 4.
+[INFO][abstract_intensifier.py:602] Config 8dcd94 is a new incumbent. Total number of incumbents: 4.
+[INFO][abstract_intensifier.py:602] Config ce1565 is a new incumbent. Total number of incumbents: 5.
 [INFO][smbo.py:327] Configuration budget is exhausted:
-[INFO][smbo.py:328] --- Remaining wallclock time: -0.006031036376953125
+[INFO][smbo.py:328] --- Remaining wallclock time: -0.3699915409088135
 [INFO][smbo.py:329] --- Remaining cpu time: inf
-[INFO][smbo.py:330] --- Remaining trials: 173
+[INFO][smbo.py:330] --- Remaining trials: 156
 Validated costs from default config:
---- [0.60155834 0.23677588]
+--- [0.60155834 0.21888936]
 
 Validated costs from the Pareto front (incumbents):
---- [0.88924791 0.32734382]
---- [0.03033736 0.61645281]
---- [0.02949783 0.78047216]
+--- [0.02421    0.52604556]
+--- [0.03589601 0.37584984]
+--- [0.14135562 0.18027866]
+--- [0.07067858 0.23799729]
+--- [0.05119468 0.32414722]
 

 

 

 


 

-
from __future__ import annotations
+
from __future__ import annotations
 
 import time
 import warnings
@@ -1222,17 +1230,17 @@
     plot_pareto(smac, incumbents)
 

 

-
Total running time of the script: (0 minutes 34.152 seconds)

+
Total running time of the script: (0 minutes 34.296 seconds)

 
 
 
diff --git a/development/examples/3_multi_objective/sg_execution_times.html b/development/examples/3_multi_objective/sg_execution_times.html
index c78a9c86f5..b952a18a7f 100644
--- a/development/examples/3_multi_objective/sg_execution_times.html
+++ b/development/examples/3_multi_objective/sg_execution_times.html
@@ -1019,19 +1019,38 @@
                 
   

 
Computation times

-
00:46.348 total execution time for examples_3_multi_objective files:

-
+
00:42.785 total execution time for 2 files from examples/3_multi_objective:

+

+
+
+
+
+

+
+
+
+
+
+
-
-
-
+
+
+
-
-
-
+
+
+
Example
Time
Mem (MB)

 
ParEGO (2_parego.py)
00:34.152
0.0 MB
ParEGO (2_parego.py)
00:34.296
0.0

 
2D Schaffer Function with Objective Weights (1_schaffer.py)
00:12.196
0.0 MB
2D Schaffer Function with Objective Weights (1_schaffer.py)
00:08.490
0.0

 

 
 

+

 
 
 
diff --git a/development/examples/5_commandline/1_call_target_function_script.html b/development/examples/5_commandline/1_call_target_function_script.html
index 02f96ff3e7..ef2b19e0a6 100644
--- a/development/examples/5_commandline/1_call_target_function_script.html
+++ b/development/examples/5_commandline/1_call_target_function_script.html
@@ -1067,7 +1067,7 @@
 

 


 

-
from ConfigSpace import ConfigurationSpace
+
from ConfigSpace import ConfigurationSpace
 
 from smac import BlackBoxFacade, Scenario
 
@@ -1098,17 +1098,17 @@
     print(f"Incumbent cost: {incumbent_cost}")
 

 

-
Total running time of the script: (0 minutes 5.831 seconds)

+
Total running time of the script: (0 minutes 3.944 seconds)

 
 
 
diff --git a/development/examples/5_commandline/sg_execution_times.html b/development/examples/5_commandline/sg_execution_times.html
index fab072e171..bdf8a6cb81 100644
--- a/development/examples/5_commandline/sg_execution_times.html
+++ b/development/examples/5_commandline/sg_execution_times.html
@@ -1019,15 +1019,34 @@
                 
   

 
Computation times

-
00:05.831 total execution time for examples_5_commandline files:

-
+
00:03.944 total execution time for 1 file from examples/5_commandline:

+

+
+
+
+
+

+
+
+
+
+
+
-
-
-
+
+
+
Example
Time
Mem (MB)

 
Call Target Function From Script (1_call_target_function_script.py)
00:05.831
0.0 MB
Call Target Function From Script (1_call_target_function_script.py)
00:03.944
0.0

 

 
 

+

 
 
 
diff --git a/development/examples/sg_execution_times.html b/development/examples/sg_execution_times.html
new file mode 100644
index 0000000000..06c1e4f320
--- /dev/null
+++ b/development/examples/sg_execution_times.html
@@ -0,0 +1,1090 @@
+
+
+
+  
+    
+    
+
+    Computation times — SMAC3 Documentation 2.0.2 documentation
+    
+  
+  
+
+    
+  
+  
+  
+
+    
+      
+
+    
+    
+    
+    
+    
+    
+    
+    
+  
+
+    
+    
+    
+    
+    
+    
+    
+    
+
+    
+    
+  
+  
+    
+    
+
+    
+    
+    
+
+    

+      

+          
+            
+            
+            
SMAC3 Documentation

+
v2.0.2

+            

+            
+          
+
+          
+          

+            
+              
+              

+                
+
+
+              

+              
+              

+                
+              

+              
+            
+          

+          
+
+          
+          
+            
+          
+          

+              
+              

+                
+  

+
Computation times

+
00:00.000 total execution time for 0 files from examples:

+

+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
Example
Time
Mem (MB)
N/A
N/A
N/A

+

+

+
+
+              

+              
+              
+              
+

+

+              
+          

+          
+
+      

+    

+  
+  
+

+  

+    
+    

+      

+    © Copyright 
+    Copyright 2023, Marius Lindauer, Katharina Eggensperger,
+    Matthias Feurer, André Biedenkapp, Difan Deng, Carolin Benjamins, Tim Ruhkopf, René Sass
+    and Frank Hutter.

+

+    

+    
+    

+      

+Created using Sphinx
+7.2.6. Template is modified version of PyData Sphinx Theme. 

+

+    

+    
+  

+

+  
+
\ No newline at end of file
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130, 131, 132, 133, 135, 138, 143, 146], "u": [0, 1, 8], "know": [0, 1, 12, 71, 72, 130, 132], "smac": [0, 1, 2, 3, 4, 7, 8, 10, 12, 13, 15, 17, 18, 19, 20, 21, 22, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146, 147, 149, 151], "can": [0, 1, 2, 3, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24, 31, 32, 33, 34, 37, 42, 43, 46, 48, 57, 58, 61, 64, 67, 77, 98, 112, 113, 114, 115, 116, 118, 120, 124, 131, 132, 134, 135, 138, 142, 143, 147, 149, 151], "subsystem": [0, 1], "linux": [0, 1], "under": [0, 1, 9], "1": [0, 3, 4, 12, 13, 14, 19, 20, 24, 25, 26, 27, 30, 32, 34, 42, 46, 47, 48, 57, 59, 60, 61, 63, 65, 66, 67, 69, 71, 72, 73, 74, 75, 76, 78, 80, 84, 85, 87, 89, 90, 91, 92, 100, 103, 120, 122, 123, 125, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146, 151], "workflow": 0, "wa": [0, 10, 13, 19, 24, 25, 57, 61, 63, 64, 98, 112, 113, 116, 134], "test": [0, 1, 18, 65, 66, 67, 69, 98, 112, 119, 151], "ubuntu": 0, "18": 0, "04": 0, "For": [0, 3, 7, 8, 13, 15, 16, 42, 43, 45, 47, 48, 50, 51, 57, 58, 61, 63, 64, 71, 72, 113, 114, 115, 116, 118, 120, 138, 151], "20": [0, 3, 20, 42, 44, 45, 47, 67, 77, 85, 87, 132, 133], "ha": [0, 1, 2, 19, 21, 32, 33, 42, 43, 50, 51, 57, 58, 61, 64, 71, 72, 99, 113, 114, 116, 118], "been": [0, 1, 2, 8, 13, 17, 19, 21, 57, 58, 61, 63, 98, 99, 112, 113, 114, 115, 116, 132], "observ": [0, 7, 13, 24, 27, 42, 48, 57, 58, 98, 112, 122], "result": [0, 2, 3, 10, 13, 17, 42, 43, 57, 58, 64, 113, 114, 115, 116, 118, 119, 120, 130, 131, 134, 138, 146], "segment": 0, "fault": 0, "core": [0, 3, 12, 42, 43, 64, 113, 114, 116, 118, 151], "dump": 0, "2": [0, 3, 7, 13, 24, 26, 32, 34, 35, 37, 42, 47, 57, 60, 85, 87, 93, 96, 130, 131, 132, 133, 135, 138, 139, 142, 143], "get": [0, 1, 13, 32, 33, 34, 38, 57, 58, 61, 71, 72, 113, 116, 124, 130, 131, 132, 134, 135, 138, 139, 142, 143, 146], "anaconda": [0, 8], "download": [0, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146, 149], "an": [0, 1, 2, 3, 7, 8, 13, 14, 15, 17, 18, 21, 24, 25, 32, 33, 35, 39, 40, 42, 43, 44, 45, 47, 49, 57, 58, 60, 67, 77, 89, 91, 93, 94, 95, 96, 97, 98, 99, 112, 113, 114, 115, 116, 117, 118, 119, 123, 124, 130, 131, 135, 136, 137, 138, 139, 143, 149, 151], "version": [0, 1, 3, 8, 13, 19, 20, 32, 36], "drive": 0, "d": [0, 18, 20, 24, 26, 146], "e": [0, 1, 2, 7, 12, 13, 15, 18, 21, 24, 27, 32, 36, 42, 46, 48, 57, 61, 63, 78, 80, 113, 114, 139], "g": [0, 2, 6, 7, 12, 13, 15, 18, 21, 32, 36, 139], "anaconda3": 0, "2023": 0, "03": [0, 137, 141, 142], "x86_64": 0, "In": [0, 3, 7, 12, 13, 14, 15, 16, 18, 19, 22, 32, 33, 42, 43, 57, 58, 61, 64, 67, 69, 77, 78, 79, 83, 98, 99, 112, 113, 114, 115, 116, 118, 120, 133, 134, 138, 139, 142, 143, 151], "resourc": [0, 21, 113, 116, 118], "ar": [0, 2, 3, 7, 8, 12, 13, 14, 15, 16, 17, 18, 19, 21, 24, 25, 27, 32, 35, 36, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 57, 58, 60, 61, 63, 64, 65, 66, 67, 68, 69, 71, 72, 77, 79, 85, 87, 98, 100, 101, 112, 113, 114, 115, 116, 118, 119, 120, 122, 125, 130, 131, 132, 134, 135, 138, 139, 142, 143, 146], "mount": 0, "mnt": 0, "cd": [0, 1], "bash": [0, 18, 146], "enter": 0, "command": [0, 1, 2, 7, 21, 22], "creat": [0, 1, 8, 24, 25, 26, 27, 28, 29, 30, 32, 33, 36, 37, 42, 43, 50, 51, 57, 58, 61, 63, 64, 65, 66, 67, 68, 69, 71, 72, 73, 77, 78, 79, 80, 81, 82, 83, 85, 87, 89, 90, 91, 92, 93, 94, 95, 96, 97, 100, 101, 113, 114, 116, 118, 119, 131, 134, 135, 138, 139, 143], "environ": [0, 1, 3, 4, 42, 43, 120, 130, 133, 134, 135, 138, 143, 146], "variabl": [0, 3, 18, 57, 58, 59, 60, 61, 64, 120, 135, 138, 143], "export": 0, "path": [0, 3, 18, 20, 42, 43, 64, 98, 112, 120, 124], "home": [0, 131, 133], "user": [0, 6, 10, 12, 13, 17, 18, 19, 20, 24, 29, 32, 36, 42, 43, 46, 48, 57, 60, 61, 64, 113, 114, 116, 118, 136, 137, 149], "bin": [0, 18, 24, 29, 146], "input": [0, 2, 7, 13, 24, 26, 42, 46, 48, 57, 60, 61, 65, 66, 67, 69, 79, 84, 85, 87, 100, 104, 125, 132], "python": [0, 1, 2, 8, 18, 35, 67, 69, 77, 79, 113, 118, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146, 147, 149, 151], "check": [0, 1, 13, 57, 58, 63, 64, 93, 94, 95, 96, 97, 98, 112, 113, 114, 120, 134], "success": [0, 7, 14, 17, 18, 42, 46, 48, 57, 61, 98, 99, 100, 101, 103, 104, 106, 107, 108, 112, 119, 138, 139], "3": [0, 1, 7, 9, 13, 15, 42, 44, 45, 46, 47, 48, 49, 57, 59, 60, 61, 85, 87, 93, 96, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146, 151], "your": [0, 1, 2, 3, 7, 8, 15, 16, 18, 20, 21, 22, 42, 43, 64, 113, 114, 116, 118, 120, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146], "folder": [0, 64], "gener": [0, 3, 7, 8, 10, 12, 13, 14, 35, 42, 43, 50, 54, 56, 57, 58, 89, 90, 113, 114, 115, 116, 120, 131, 150, 151], "softwar": [0, 9], "sudo": 0, "apt": [0, 1], "properti": [0, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 36, 37, 42, 43, 50, 51, 57, 58, 60, 61, 63, 64, 65, 66, 67, 68, 69, 71, 72, 73, 77, 78, 79, 80, 81, 82, 83, 84, 85, 87, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 100, 101, 112, 113, 114, 118, 119, 120, 130, 131, 132, 133, 134, 135, 138, 139, 143], "common": [0, 3, 113, 114, 116, 135], "updat": [0, 1, 13, 18, 24, 25, 39, 40, 42, 43, 49, 57, 58, 64, 89, 90, 92, 98, 112, 134], "build": [0, 1, 131, 135, 138, 139], "essenti": [0, 39, 40], "swig": [0, 1], "conda": 0, "gxx_linux": [0, 1], "64": [0, 1, 32, 37], "gcc_linux": [0, 1], "curl": 0, "http": [0, 1, 6, 9, 24, 28, 50, 54, 56, 89, 92, 126, 138, 151], "raw": 0, "githubusercont": 0, "com": [0, 1, 126, 151], "automl": [0, 1, 8, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146, 151], "smac3": [0, 1, 8, 131, 133, 151], "master": 0, "requir": [0, 3, 8, 13, 14, 21, 24, 25, 29, 31, 32, 34, 57, 61, 63, 85, 87, 98, 112, 113, 114, 118, 119, 120, 139], "txt": 0, "xarg": 0, "n": [0, 1, 6, 24, 25, 28, 31, 57, 60, 63, 67, 69, 77, 79, 113, 116, 123, 142, 143], "l": [0, 6], "pip": [0, 1], "written": [1, 57, 58, 151], "python3": [1, 131, 138, 151], "therefor": [1, 3, 7, 13, 42, 49, 71, 72, 120, 138, 143], "8": [1, 3, 12, 13, 42, 43, 45, 57, 61, 63, 85, 87, 131, 135, 138, 142, 143, 146, 151], "furthermor": [1, 57, 58, 133], "random": [1, 3, 7, 22, 24, 29, 32, 33, 35, 36, 38, 42, 43, 44, 45, 46, 47, 48, 49, 50, 55, 57, 58, 60, 61, 65, 66, 85, 86, 87, 88, 93, 94, 95, 96, 97, 120, 131, 135, 138, 143, 151], "forest": [1, 3, 7, 13, 24, 29, 32, 36, 42, 44, 47, 65, 66, 85, 86, 87, 131, 135, 151], "us": [1, 2, 3, 4, 7, 8, 9, 11, 13, 14, 15, 16, 18, 19, 21, 24, 25, 29, 31, 32, 33, 34, 35, 36, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 71, 72, 77, 78, 79, 81, 83, 84, 85, 87, 93, 95, 96, 97, 98, 99, 100, 101, 105, 106, 107, 109, 112, 113, 114, 116, 118, 119, 120, 122, 123, 124, 130, 131, 132, 133, 134, 135, 139, 140, 141, 142, 143, 146, 147, 149, 151], "depend": [1, 2, 3, 8, 12, 13, 18, 22, 42, 45, 65, 66, 89, 90, 113, 117, 120, 131], "either": [1, 3, 8, 42, 43, 67, 77, 98, 112, 113, 118], "system": 1, "directli": [1, 3, 13, 14, 15, 18, 113, 118], "The": [1, 2, 3, 4, 7, 8, 10, 12, 13, 14, 15, 18, 19, 20, 21, 24, 25, 32, 33, 34, 36, 42, 43, 44, 45, 47, 49, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 71, 72, 77, 78, 79, 80, 83, 84, 85, 87, 93, 94, 96, 98, 99, 100, 101, 112, 113, 114, 115, 116, 118, 119, 120, 122, 126, 130, 132, 138, 142, 143, 151], "machin": [1, 4, 24, 28, 136, 137, 149, 151], "follow": [1, 2, 3, 4, 8, 12, 13, 15, 16, 18, 20, 42, 49, 57, 60, 61, 85, 87, 113, 114, 116, 119, 146, 151], "mac": [1, 8], "9": [1, 32, 34, 138, 139, 142, 151], "10": [1, 3, 7, 20, 24, 29, 32, 36, 37, 42, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 58, 59, 60, 61, 67, 69, 85, 87, 130, 131, 132, 133, 134, 135, 138, 142, 143, 151], "we": [1, 3, 7, 8, 13, 15, 16, 18, 22, 24, 31, 32, 33, 42, 43, 49, 57, 58, 61, 63, 64, 67, 77, 79, 113, 114, 116, 118, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146, 149, 151], "recommend": [1, 8, 12, 13, 18, 22], "activ": [1, 8, 71, 72, 113, 116, 135, 138, 143], "haven": 1, "t": [1, 3, 8, 24, 26, 27, 30, 31, 71, 72, 134], "yet": [1, 8, 57, 61, 130, 131, 132, 134, 135, 138, 139, 142, 143, 146], "insid": [1, 13, 21, 133], "now": [1, 15, 130, 131, 132, 133, 134, 139, 146], "pypi": 1, "Or": [1, 15], "altern": [1, 15, 131, 139], "clone": 1, "from": [1, 2, 3, 4, 8, 10, 13, 18, 19, 20, 32, 33, 34, 36, 42, 43, 49, 50, 51, 57, 58, 60, 61, 63, 64, 67, 69, 71, 72, 79, 98, 112, 113, 114, 116, 118, 119, 120, 126, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 147, 148, 149], "github": [1, 8, 50, 56, 126, 151], "git": 1, "dev": 1, "channel": 1, "achiev": [1, 3], "ad": [1, 13, 39, 40, 57, 58, 60, 61, 71, 72, 98, 112, 122, 130, 131, 132, 134, 135, 138, 139, 142, 143, 146], "config": [1, 3, 4, 7, 13, 39, 40, 42, 43, 48, 50, 51, 57, 58, 60, 61, 63, 64, 98, 99, 110, 112, 113, 114, 116, 118, 119, 120, 122, 126, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146], "add": [1, 8, 13, 16, 42, 43, 44, 45, 47, 48, 49, 50, 51, 57, 60, 61, 64, 98, 112, 131, 135, 138, 139, 143], "set": [1, 2, 6, 8, 10, 13, 18, 19, 42, 45, 46, 47, 48, 49, 50, 51, 57, 58, 59, 60, 61, 64, 93, 95, 97, 98, 112, 113, 118, 120, 124, 125, 131, 134, 135, 142, 143, 146], "channel_prior": 1, "strict": 1, "must": [1, 3, 18, 32, 33, 35, 42, 44, 45, 47, 49, 65, 66, 71, 72, 78, 79, 80, 83, 84, 89, 91, 113, 118, 119, 120, 138], "have": [1, 7, 8, 9, 10, 13, 14, 15, 17, 18, 21, 32, 36, 42, 43, 49, 57, 58, 63, 64, 98, 99, 112, 113, 114, 115, 116, 118, 132, 135, 138, 139, 143], "4": [1, 2, 13, 18, 42, 44, 57, 61, 119, 130, 132, 133, 135, 138, 139, 142], "To": [1, 8, 10, 13, 16, 113, 116, 134, 135, 138], "current": [1, 7, 10, 13, 21, 24, 25, 27, 28, 32, 33, 42, 43, 49, 57, 58, 59, 60, 61, 64, 67, 69, 93, 97, 98, 99, 100, 101, 112, 133], "instruct": 1, "offici": 1, "document": [1, 3, 32, 34, 57, 59], "onc": [1, 13, 21, 32, 37, 42, 46, 48, 49, 57, 61, 135, 138, 143], "enabl": [1, 18, 42, 44, 47, 85, 87, 98, 112], "read": [1, 10, 22, 98, 112, 134], "feedstock": 1, "more": [1, 3, 7, 12, 13, 15, 19, 22, 42, 48, 57, 58, 60, 113, 114, 116, 131, 142], "detail": [1, 3, 7, 24, 28, 29, 42, 48, 138], "find": [1, 2, 3, 4, 7, 13, 32, 34, 57, 58, 63, 130, 131, 132, 133, 134, 146], "how": [1, 7, 8, 13, 14, 15, 18, 20, 22, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 60, 61, 63, 64, 98, 99, 112, 113, 114, 116, 119, 123, 132, 138, 142, 143, 146, 149], "do": [1, 10, 13, 15, 16, 18, 20, 24, 31, 42, 43, 49, 64, 113, 114, 116, 118, 134, 135, 146], "here": [1, 3, 8, 13, 19, 24, 31, 57, 58, 63, 130, 134, 135, 139, 146, 151], "howev": [1, 3, 7, 8, 13, 15, 17, 18, 22, 42, 43, 57, 61, 63, 119, 142], "support": [2, 3, 4, 13, 21, 42, 44, 46, 48, 57, 58, 60, 61, 71, 72, 136, 137, 149], "determin": [2, 8, 14, 42, 43, 57, 58, 67, 71, 72, 77, 115], "well": [2, 13, 17, 24, 29, 113, 114, 131, 132, 135], "perform": [2, 3, 7, 8, 13, 14, 18, 32, 36, 37, 42, 43, 44, 46, 47, 48, 49, 57, 58, 61, 64, 85, 87, 98, 112, 113, 114, 120, 124, 139, 151], "hyperparamet": [2, 3, 4, 6, 7, 13, 18, 24, 28, 29, 32, 36, 42, 43, 45, 47, 48, 50, 51, 65, 66, 67, 69, 71, 72, 73, 77, 78, 79, 83, 84, 85, 87, 122, 130, 131, 132, 133, 134, 135, 138, 143, 146, 151], "configur": [2, 4, 7, 8, 12, 15, 17, 18, 22, 24, 25, 32, 33, 35, 36, 38, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 55, 57, 58, 60, 61, 63, 64, 78, 79, 83, 93, 94, 95, 96, 97, 98, 99, 100, 101, 112, 113, 114, 115, 116, 118, 119, 120, 122, 124, 126, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146, 151], "algorithm": [2, 3, 6, 7, 8, 14, 15, 22, 24, 28, 32, 34, 42, 43, 44, 45, 46, 47, 49, 57, 58, 98, 100, 101, 112, 113, 114, 118, 119, 126, 131, 139, 151], "By": [2, 138], "being": [2, 7, 71, 72, 113, 118], "robust": [2, 67, 69, 77, 79], "flexibl": [2, 67, 69, 77, 79], "framework": [2, 3, 7, 67, 69, 77, 79], "bayesian": [2, 6, 7, 13, 24, 28, 29, 42, 43, 64, 67, 69, 77, 79, 93, 96, 133, 151], "optim": [2, 3, 4, 6, 7, 8, 13, 17, 19, 20, 21, 22, 24, 26, 28, 29, 31, 32, 34, 36, 39, 40, 41, 42, 43, 49, 57, 58, 64, 67, 69, 77, 79, 89, 90, 93, 96, 120, 130, 131, 132, 133, 135, 136, 137, 138, 139, 142, 143, 146, 147, 149, 151], "improv": [2, 3, 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57, 58, 59, 60, 61, 63, 98, 112, 131, 132, 135, 136, 137, 138, 142, 149, 151], "artifici": [2, 134], "global": [2, 7, 20, 32, 34, 57, 58], "problem": [2, 6, 7, 8, 42, 43, 113, 114, 116, 118, 119, 130, 132], "across": [2, 7, 22, 42, 43, 46, 48, 57, 61, 64, 98, 112, 113, 114, 116, 118, 139], "multipl": [2, 7, 8, 13, 14, 15, 21, 24, 29, 42, 43, 50, 51, 65, 84, 98, 112, 120, 135, 140, 141, 143, 149], "instanc": [2, 3, 7, 8, 13, 14, 18, 19, 22, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 60, 61, 64, 65, 66, 67, 68, 69, 77, 84, 85, 87, 98, 99, 100, 101, 112, 113, 114, 116, 118, 119, 120, 122, 126, 130, 132, 134, 135, 138, 139, 143, 146], "characterist": 2, "capabl": [2, 113, 116], "sampl": [2, 13, 15, 16, 24, 31, 32, 33, 35, 36, 38, 39, 40, 42, 43, 45, 47, 48, 49, 50, 51, 57, 60, 61, 63, 65, 66, 67, 69, 77, 79, 84, 85, 87, 120], "effici": [2, 3, 12, 32, 34, 57, 58, 98, 112, 151], "black": [2, 3, 7, 130], "box": [2, 3, 7, 130], "onli": [2, 7, 8, 11, 12, 13, 15, 18, 20, 21, 24, 25, 31, 42, 43, 46, 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113, 114, 115, 116, 120, 134, 135, 138, 139, 143], "new": [7, 8, 10, 13, 21, 35, 39, 40, 42, 49, 57, 58, 60, 61, 63, 98, 112, 130, 131, 132, 134, 135, 138, 139, 142, 143, 146], "therebi": [7, 14], "prematur": [7, 10, 14], "than": [7, 12, 32, 34, 42, 48, 49, 57, 58, 60, 64, 78, 79, 80, 85, 87, 120, 130, 132, 134, 135, 138, 139, 142, 143, 146], "goal": 7, "solut": [7, 8, 32, 34, 38], "least": [7, 98, 112, 138], "good": [7, 138], "compromis": 7, "metric": 7, "qualiti": 7, "free": [7, 8, 9, 42, 46], "select": [7, 13, 42, 43, 46, 48, 49, 50, 51, 53, 57, 61, 63, 98, 112, 113, 114, 143], "uniformli": [7, 42, 49], "iter": [7, 13, 19, 32, 33, 35, 36, 37, 39, 40, 42, 43, 45, 47, 57, 58, 60, 63, 89, 90, 92, 93, 94, 95, 96, 97, 98, 112, 113, 114, 115, 116, 123], "compar": [7, 13, 19, 42, 46, 49, 57, 58, 61, 122, 123, 126, 138], "against": [7, 8, 42, 48, 57, 58, 60], "extend": 7, "chapter": [7, 22], "cost": [7, 13, 15, 16, 18, 22, 42, 43, 47, 57, 58, 61, 64, 89, 90, 91, 92, 98, 99, 100, 101, 112, 113, 114, 116, 118, 119, 120, 125, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146], "given": [7, 18, 24, 25, 26, 42, 48, 57, 58, 61, 65, 66, 93, 95, 97, 98, 100, 101, 112, 113, 114, 118, 119, 125, 126, 139], "singl": [7, 12, 13, 15, 18, 42, 44, 47, 49, 57, 58, 65, 84, 85, 87, 89, 90, 91, 92, 98, 112, 113, 114, 115, 116, 119, 138], "combin": [7, 42, 43, 57, 58, 64, 89, 90, 91, 92, 98, 112, 113, 114, 116, 120, 131, 138, 139, 151], "should": [8, 9, 13, 18, 20, 24, 25, 35, 42, 43, 44, 45, 47, 49, 57, 58, 60, 63, 64, 65, 71, 72, 84, 93, 94, 95, 96, 97, 120, 126, 130, 132], "smac2": [8, 85, 87, 134], "reimplement": 8, "origin": [8, 15, 32, 36, 78, 79, 83, 125, 151], "et": [8, 24, 28, 29, 67, 77], "al": [8, 24, 28, 29, 67, 77], "2021": [8, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146], "slightli": 8, "comparison": [8, 42, 48, 57, 58], "stabl": 8, "releas": 8, "java": 8, "sinc": [8, 13, 15, 18, 19, 22, 42, 49, 57, 58, 138, 142, 143], "maintain": 8, "applic": [8, 14], "cannot": 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93, 96, 113, 114, 115, 116, 134, 138, 143], "sure": [8, 13, 15, 18, 67, 77, 93, 96, 113, 114, 116, 117, 134], "hasn": 8, "alreadi": [8, 13, 24, 25, 57, 60, 63, 64, 98, 112, 132, 134, 138], "tracker": [8, 13, 57, 59, 61], "latest": [8, 57, 58], "inform": [8, 10, 13, 42, 43, 50, 54, 56, 57, 58, 61, 64, 98, 99, 112, 113, 114, 116, 118, 119, 131], "descript": 8, "reproduc": [8, 21, 22, 120], "about": [8, 12, 13, 57, 60, 64, 71, 72, 98, 99, 113, 114, 131, 135], "setup": [8, 10, 42, 43, 49, 64, 124], "help": [8, 12], "resolv": 8, "packag": [8, 131, 138, 151], "feel": 8, "screenshot": 8, "contribut": [8, 151], "discuss": [8, 22], "care": [8, 13, 42, 43], "question": 8, "feedback": 8, "prefer": 8, "locat": [8, 24, 27], "featur": [8, 13, 16, 18, 42, 44, 47, 65, 66, 67, 68, 69, 77, 84, 85, 87, 100, 101, 119, 120, 122, 139], "ongo": 8, "look": [8, 10, 14, 17, 35, 42, 49], "guid": [8, 13], "flag": [8, 134], "fals": [8, 10, 20, 24, 27, 29, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 61, 64, 67, 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134, 135, 138, 139, 142, 143, 146], "step": [13, 32, 36, 37, 57, 61, 67, 77, 115, 143], "request": [13, 134], "via": [13, 15, 21, 32, 34, 38, 113, 114, 116, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146], "config_gener": [13, 57, 58], "over": [13, 24, 26, 28, 29, 32, 34, 57, 60, 65, 66, 67, 77, 84, 85, 87, 93, 96, 97, 98, 112, 115, 136, 137, 142, 149], "considered_st": [13, 100, 101, 103, 104, 106, 107, 108], "timeout": 13, "consid": [13, 17, 19, 21, 42, 44, 47, 49, 57, 58, 85, 87, 98, 100, 101, 112, 115, 138, 139, 143], "normalize_cost": [13, 125], "objective_bound": [13, 98, 112], "inact": [13, 42, 43, 122], "after": [13, 15, 19, 24, 25, 39, 40, 42, 49, 57, 61, 63, 64, 93, 96, 132, 133, 134, 138, 143], "mathemat": 13, "techniqu": [13, 32, 34], "varianc": [13, 65, 66, 67, 69, 77, 84, 85, 87, 139], "section": 13, "otherwis": [13, 21, 57, 58, 113, 116, 118, 120], "bunch": 13, "confid": [13, 24, 26, 42, 49], "bound": [13, 24, 26, 78, 83, 98, 112, 122, 125, 143], "thompson": [13, 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57, 61, 63], "keep": [13, 15, 20, 21, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 60, 61, 64, 65, 66, 67, 68, 69, 77, 85, 87, 113, 114, 115, 116, 118], "track": [13, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 60, 61], "twice": [13, 142], "chanc": 13, "although": [13, 57, 58], "includ": [13, 21, 57, 58, 59, 60, 61, 64, 65, 66, 84, 135, 139, 151], "trade": [13, 24, 26, 27, 42, 43], "stuck": 13, "optimum": [13, 24, 29, 100, 101, 136, 137, 149], "guarante": [13, 22, 98, 112], "anneal": [13, 93, 95], "modulu": [13, 35, 93, 96], "far": [13, 19, 24, 26, 27, 42, 46, 48, 57, 61, 64, 99, 133], "decid": [13, 42, 43, 64, 113, 114, 151], "worth": 13, "spend": [13, 64], "pair": [13, 42, 46, 48, 57, 61, 98, 112, 143], "n_seed": [13, 42, 46, 48, 57, 58, 59, 61, 120], "lot": [13, 22, 139], "throughout": 13, "uses_se": [13, 57, 58, 60, 61], "uses_budget": [13, 57, 58, 60, 61], "uses_inst": [13, 57, 58, 60, 61], "callabl": [13, 35, 42, 43, 113, 118, 119], "saniti": 13, "fact": [13, 57, 60], "repeat": [13, 131], 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133, 138, 139, 143, 146], "warn": [20, 98, 112, 131, 135, 138, 139, 143], "40": [20, 133, 135, 139], "critic": 20, "sometim": [20, 21], "highlight": [20, 143], "yaml": [20, 42, 43], "displai": 20, "messag": 20, "everyth": [20, 146], "disable_existing_logg": 20, "formatt": 20, "levelnam": 20, "lineno": 20, "handler": 20, "consol": 20, "streamhandl": 20, "stream": 20, "ext": 20, "sy": 20, "dask": [21, 42, 43, 113, 116, 118, 120], "readi": 21, "mind": 21, "orchestr": 21, "fast": 21, "counterproduct": 21, "due": [21, 32, 34, 139], "overhead": [21, 32, 37], "communc": 21, "anymor": 21, "trail_walltime_limit": 21, "trial_memory_limit": [21, 120], "subprocess": [21, 119], "togeth": [21, 24, 31, 42, 49, 57, 61], "pickl": [21, 113, 116], "schedul": [21, 93, 95], "job": [21, 113, 116], "__name__": [21, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146], "__main__": [21, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146], "abl": [21, 113, 114, 131], "correctli": 21, "spawn": [21, 120], 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33, 36, 37, 42, 43, 49], "sourc": [24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 122, 123, 124, 125, 126, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146, 149], "abstract": [24, 25, 32, 33, 42, 43, 57, 58, 65, 66, 67, 68, 79, 85, 86, 89, 90, 93, 94, 100, 101, 113, 114, 116], "__call__": [24, 25, 71, 72, 89, 90, 91, 92, 113, 118, 119, 131], "ndarrai": [24, 25, 64, 65, 66, 67, 69, 71, 72, 79, 84, 85, 87, 100, 101, 103, 104, 105, 106, 107, 108, 109, 122, 139], "dict": [24, 25, 26, 27, 28, 29, 30, 32, 33, 36, 37, 42, 43, 50, 51, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 71, 72, 73, 77, 78, 79, 80, 81, 82, 83, 85, 87, 89, 90, 91, 92, 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"smac.runhistory.encoder.RunHistoryInverseScaledEncoder.transform_response_values"]], "transform_response_values() (smac.runhistory.encoder.runhistorylogencoder method)": [[100, "smac.runhistory.encoder.RunHistoryLogEncoder.transform_response_values"]], "transform_response_values() (smac.runhistory.encoder.runhistorylogscaledencoder method)": [[100, "smac.runhistory.encoder.RunHistoryLogScaledEncoder.transform_response_values"]], "transform_response_values() (smac.runhistory.encoder.runhistoryscaledencoder method)": [[100, "smac.runhistory.encoder.RunHistoryScaledEncoder.transform_response_values"]], "transform_response_values() (smac.runhistory.encoder.runhistorysqrtscaledencoder method)": [[100, "smac.runhistory.encoder.RunHistorySqrtScaledEncoder.transform_response_values"]], "abstractrunhistoryencoder (class in smac.runhistory.encoder.abstract_encoder)": [[101, "smac.runhistory.encoder.abstract_encoder.AbstractRunHistoryEncoder"]], "get_configurations() 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"smac.runhistory.encoder.abstract_encoder.AbstractRunHistoryEncoder.transform"]], "transform_response_values() (smac.runhistory.encoder.abstract_encoder.abstractrunhistoryencoder method)": [[101, "smac.runhistory.encoder.abstract_encoder.AbstractRunHistoryEncoder.transform_response_values"]], "smac.runhistory.encoder.boing_encoder": [[102, "module-smac.runhistory.encoder.boing_encoder"]], "runhistoryeipsencoder (class in smac.runhistory.encoder.eips_encoder)": [[103, "smac.runhistory.encoder.eips_encoder.RunHistoryEIPSEncoder"]], "smac.runhistory.encoder.eips_encoder": [[103, "module-smac.runhistory.encoder.eips_encoder"]], "transform_response_values() (smac.runhistory.encoder.eips_encoder.runhistoryeipsencoder method)": [[103, "smac.runhistory.encoder.eips_encoder.RunHistoryEIPSEncoder.transform_response_values"]], "runhistoryencoder (class in smac.runhistory.encoder.encoder)": [[104, "smac.runhistory.encoder.encoder.RunHistoryEncoder"]], "smac.runhistory.encoder.encoder": [[104, "module-smac.runhistory.encoder.encoder"]], "transform_response_values() (smac.runhistory.encoder.encoder.runhistoryencoder method)": [[104, "smac.runhistory.encoder.encoder.RunHistoryEncoder.transform_response_values"]], "runhistoryinversescaledencoder (class in smac.runhistory.encoder.inverse_scaled_encoder)": [[105, "smac.runhistory.encoder.inverse_scaled_encoder.RunHistoryInverseScaledEncoder"]], "smac.runhistory.encoder.inverse_scaled_encoder": [[105, "module-smac.runhistory.encoder.inverse_scaled_encoder"]], "transform_response_values() (smac.runhistory.encoder.inverse_scaled_encoder.runhistoryinversescaledencoder method)": [[105, "smac.runhistory.encoder.inverse_scaled_encoder.RunHistoryInverseScaledEncoder.transform_response_values"]], "runhistorylogencoder (class in smac.runhistory.encoder.log_encoder)": [[106, "smac.runhistory.encoder.log_encoder.RunHistoryLogEncoder"]], "smac.runhistory.encoder.log_encoder": [[106, "module-smac.runhistory.encoder.log_encoder"]], "transform_response_values() (smac.runhistory.encoder.log_encoder.runhistorylogencoder method)": [[106, "smac.runhistory.encoder.log_encoder.RunHistoryLogEncoder.transform_response_values"]], "runhistorylogscaledencoder (class in smac.runhistory.encoder.log_scaled_encoder)": [[107, "smac.runhistory.encoder.log_scaled_encoder.RunHistoryLogScaledEncoder"]], "smac.runhistory.encoder.log_scaled_encoder": [[107, "module-smac.runhistory.encoder.log_scaled_encoder"]], "transform_response_values() (smac.runhistory.encoder.log_scaled_encoder.runhistorylogscaledencoder method)": [[107, "smac.runhistory.encoder.log_scaled_encoder.RunHistoryLogScaledEncoder.transform_response_values"]], "runhistoryscaledencoder (class in smac.runhistory.encoder.scaled_encoder)": [[108, "smac.runhistory.encoder.scaled_encoder.RunHistoryScaledEncoder"]], "smac.runhistory.encoder.scaled_encoder": [[108, "module-smac.runhistory.encoder.scaled_encoder"]], "transform_response_values() 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"module-smac.runhistory.errors"]], "runhistory (class in smac.runhistory.runhistory)": [[112, "smac.runhistory.runhistory.RunHistory"]], "__contains__() (smac.runhistory.runhistory.runhistory method)": [[112, "smac.runhistory.runhistory.RunHistory.__contains__"]], "__eq__() (smac.runhistory.runhistory.runhistory method)": [[112, "smac.runhistory.runhistory.RunHistory.__eq__"]], "__getitem__() (smac.runhistory.runhistory.runhistory method)": [[112, "smac.runhistory.runhistory.RunHistory.__getitem__"]], "__iter__() (smac.runhistory.runhistory.runhistory method)": [[112, "smac.runhistory.runhistory.RunHistory.__iter__"]], "__len__() (smac.runhistory.runhistory.runhistory method)": [[112, "smac.runhistory.runhistory.RunHistory.__len__"]], "add() (smac.runhistory.runhistory.runhistory method)": [[112, "smac.runhistory.runhistory.RunHistory.add"]], "add_running_trial() (smac.runhistory.runhistory.runhistory method)": [[112, "smac.runhistory.runhistory.RunHistory.add_running_trial"]], "add_trial() (smac.runhistory.runhistory.runhistory method)": [[112, "smac.runhistory.runhistory.RunHistory.add_trial"]], "average_cost() (smac.runhistory.runhistory.runhistory method)": [[112, "smac.runhistory.runhistory.RunHistory.average_cost"]], "config_ids (smac.runhistory.runhistory.runhistory property)": [[112, "smac.runhistory.runhistory.RunHistory.config_ids"]], "empty() (smac.runhistory.runhistory.runhistory method)": [[112, "smac.runhistory.runhistory.RunHistory.empty"]], "finished (smac.runhistory.runhistory.runhistory property)": [[112, "smac.runhistory.runhistory.RunHistory.finished"]], "get_config() (smac.runhistory.runhistory.runhistory method)": [[112, "smac.runhistory.runhistory.RunHistory.get_config"]], "get_config_id() (smac.runhistory.runhistory.runhistory method)": [[112, "smac.runhistory.runhistory.RunHistory.get_config_id"]], "get_configs() (smac.runhistory.runhistory.runhistory method)": [[112, "smac.runhistory.runhistory.RunHistory.get_configs"]], "get_configs_per_budget() (smac.runhistory.runhistory.runhistory method)": [[112, "smac.runhistory.runhistory.RunHistory.get_configs_per_budget"]], "get_cost() (smac.runhistory.runhistory.runhistory method)": [[112, "smac.runhistory.runhistory.RunHistory.get_cost"]], "get_instance_seed_budget_keys() (smac.runhistory.runhistory.runhistory method)": [[112, "smac.runhistory.runhistory.RunHistory.get_instance_seed_budget_keys"]], "get_min_cost() (smac.runhistory.runhistory.runhistory method)": [[112, "smac.runhistory.runhistory.RunHistory.get_min_cost"]], "get_running_configs() (smac.runhistory.runhistory.runhistory method)": [[112, "smac.runhistory.runhistory.RunHistory.get_running_configs"]], "get_running_trials() (smac.runhistory.runhistory.runhistory method)": [[112, "smac.runhistory.runhistory.RunHistory.get_running_trials"]], "get_trials() (smac.runhistory.runhistory.runhistory method)": [[112, "smac.runhistory.runhistory.RunHistory.get_trials"]], "has_config() (smac.runhistory.runhistory.runhistory method)": [[112, "smac.runhistory.runhistory.RunHistory.has_config"]], "ids_config (smac.runhistory.runhistory.runhistory property)": [[112, "smac.runhistory.runhistory.RunHistory.ids_config"]], "incremental_update_cost() (smac.runhistory.runhistory.runhistory method)": [[112, "smac.runhistory.runhistory.RunHistory.incremental_update_cost"]], "load() (smac.runhistory.runhistory.runhistory method)": [[112, "smac.runhistory.runhistory.RunHistory.load"]], "min_cost() (smac.runhistory.runhistory.runhistory method)": [[112, "smac.runhistory.runhistory.RunHistory.min_cost"]], "multi_objective_algorithm (smac.runhistory.runhistory.runhistory property)": [[112, "smac.runhistory.runhistory.RunHistory.multi_objective_algorithm"]], "objective_bounds (smac.runhistory.runhistory.runhistory property)": [[112, "smac.runhistory.runhistory.RunHistory.objective_bounds"]], "reset() (smac.runhistory.runhistory.runhistory method)": [[112, "smac.runhistory.runhistory.RunHistory.reset"]], "running (smac.runhistory.runhistory.runhistory property)": [[112, "smac.runhistory.runhistory.RunHistory.running"]], "save() (smac.runhistory.runhistory.runhistory method)": [[112, "smac.runhistory.runhistory.RunHistory.save"]], "smac.runhistory.runhistory": [[112, "module-smac.runhistory.runhistory"]], "submitted (smac.runhistory.runhistory.runhistory property)": [[112, "smac.runhistory.runhistory.RunHistory.submitted"]], "sum_cost() (smac.runhistory.runhistory.runhistory method)": [[112, "smac.runhistory.runhistory.RunHistory.sum_cost"]], "update() (smac.runhistory.runhistory.runhistory method)": [[112, "smac.runhistory.runhistory.RunHistory.update"]], "update_cost() (smac.runhistory.runhistory.runhistory method)": [[112, "smac.runhistory.runhistory.RunHistory.update_cost"]], "update_costs() (smac.runhistory.runhistory.runhistory method)": [[112, "smac.runhistory.runhistory.RunHistory.update_costs"]], "update_from_json() (smac.runhistory.runhistory.runhistory method)": [[112, "smac.runhistory.runhistory.RunHistory.update_from_json"]], "abstractrunner (class in smac.runner)": [[113, "smac.runner.AbstractRunner"]], "daskparallelrunner (class in smac.runner)": [[113, "smac.runner.DaskParallelRunner"]], "firstruncrashedexception": [[113, "smac.runner.FirstRunCrashedException"], [117, "smac.runner.exceptions.FirstRunCrashedException"]], "targetalgorithmabortexception": [[113, "smac.runner.TargetAlgorithmAbortException"], [117, "smac.runner.exceptions.TargetAlgorithmAbortException"]], "targetfunctionrunner (class in smac.runner)": [[113, "smac.runner.TargetFunctionRunner"]], "__call__() (smac.runner.targetfunctionrunner method)": [[113, "smac.runner.TargetFunctionRunner.__call__"]], "__del__() (smac.runner.daskparallelrunner method)": [[113, "smac.runner.DaskParallelRunner.__del__"]], "close() (smac.runner.daskparallelrunner method)": [[113, "smac.runner.DaskParallelRunner.close"]], "count_available_workers() (smac.runner.abstractrunner method)": [[113, "smac.runner.AbstractRunner.count_available_workers"]], "count_available_workers() (smac.runner.daskparallelrunner method)": [[113, "smac.runner.DaskParallelRunner.count_available_workers"]], "is_running() (smac.runner.abstractrunner method)": [[113, "smac.runner.AbstractRunner.is_running"]], "is_running() (smac.runner.daskparallelrunner method)": [[113, "smac.runner.DaskParallelRunner.is_running"]], "iter_results() (smac.runner.abstractrunner method)": [[113, "smac.runner.AbstractRunner.iter_results"]], "iter_results() (smac.runner.daskparallelrunner method)": [[113, "smac.runner.DaskParallelRunner.iter_results"]], "meta (smac.runner.abstractrunner property)": [[113, "smac.runner.AbstractRunner.meta"]], "meta (smac.runner.targetfunctionrunner property)": [[113, "smac.runner.TargetFunctionRunner.meta"]], "run() (smac.runner.abstractrunner method)": [[113, "smac.runner.AbstractRunner.run"]], "run() (smac.runner.daskparallelrunner method)": [[113, "smac.runner.DaskParallelRunner.run"]], "run() (smac.runner.targetfunctionrunner method)": [[113, "smac.runner.TargetFunctionRunner.run"]], "run_wrapper() (smac.runner.abstractrunner method)": [[113, "smac.runner.AbstractRunner.run_wrapper"]], "smac.runner": [[113, "module-smac.runner"]], "submit_trial() (smac.runner.abstractrunner method)": [[113, "smac.runner.AbstractRunner.submit_trial"]], "submit_trial() (smac.runner.daskparallelrunner method)": [[113, "smac.runner.DaskParallelRunner.submit_trial"]], "wait() (smac.runner.abstractrunner method)": [[113, "smac.runner.AbstractRunner.wait"]], "wait() (smac.runner.daskparallelrunner method)": [[113, "smac.runner.DaskParallelRunner.wait"]], "abstractrunner (class in smac.runner.abstract_runner)": [[114, "smac.runner.abstract_runner.AbstractRunner"]], "count_available_workers() (smac.runner.abstract_runner.abstractrunner method)": [[114, "smac.runner.abstract_runner.AbstractRunner.count_available_workers"]], "is_running() (smac.runner.abstract_runner.abstractrunner method)": [[114, "smac.runner.abstract_runner.AbstractRunner.is_running"]], "iter_results() (smac.runner.abstract_runner.abstractrunner method)": [[114, "smac.runner.abstract_runner.AbstractRunner.iter_results"]], "meta (smac.runner.abstract_runner.abstractrunner property)": [[114, "smac.runner.abstract_runner.AbstractRunner.meta"]], "run() (smac.runner.abstract_runner.abstractrunner method)": [[114, "smac.runner.abstract_runner.AbstractRunner.run"]], "run_wrapper() (smac.runner.abstract_runner.abstractrunner method)": [[114, "smac.runner.abstract_runner.AbstractRunner.run_wrapper"]], "smac.runner.abstract_runner": [[114, "module-smac.runner.abstract_runner"]], "submit_trial() (smac.runner.abstract_runner.abstractrunner method)": [[114, "smac.runner.abstract_runner.AbstractRunner.submit_trial"]], "wait() (smac.runner.abstract_runner.abstractrunner method)": [[114, "smac.runner.abstract_runner.AbstractRunner.wait"]], "abstractserialrunner (class in smac.runner.abstract_serial_runner)": [[115, "smac.runner.abstract_serial_runner.AbstractSerialRunner"]], "count_available_workers() (smac.runner.abstract_serial_runner.abstractserialrunner method)": [[115, "smac.runner.abstract_serial_runner.AbstractSerialRunner.count_available_workers"]], "is_running() (smac.runner.abstract_serial_runner.abstractserialrunner method)": [[115, "smac.runner.abstract_serial_runner.AbstractSerialRunner.is_running"]], "iter_results() (smac.runner.abstract_serial_runner.abstractserialrunner method)": [[115, "smac.runner.abstract_serial_runner.AbstractSerialRunner.iter_results"]], "smac.runner.abstract_serial_runner": [[115, "module-smac.runner.abstract_serial_runner"]], "submit_trial() (smac.runner.abstract_serial_runner.abstractserialrunner method)": [[115, "smac.runner.abstract_serial_runner.AbstractSerialRunner.submit_trial"]], "wait() (smac.runner.abstract_serial_runner.abstractserialrunner method)": [[115, "smac.runner.abstract_serial_runner.AbstractSerialRunner.wait"]], "daskparallelrunner (class in smac.runner.dask_runner)": [[116, "smac.runner.dask_runner.DaskParallelRunner"]], "__del__() (smac.runner.dask_runner.daskparallelrunner method)": [[116, "smac.runner.dask_runner.DaskParallelRunner.__del__"]], "close() (smac.runner.dask_runner.daskparallelrunner method)": [[116, "smac.runner.dask_runner.DaskParallelRunner.close"]], "count_available_workers() (smac.runner.dask_runner.daskparallelrunner method)": [[116, "smac.runner.dask_runner.DaskParallelRunner.count_available_workers"]], "is_running() (smac.runner.dask_runner.daskparallelrunner method)": [[116, "smac.runner.dask_runner.DaskParallelRunner.is_running"]], "iter_results() (smac.runner.dask_runner.daskparallelrunner method)": [[116, "smac.runner.dask_runner.DaskParallelRunner.iter_results"]], "run() (smac.runner.dask_runner.daskparallelrunner method)": [[116, "smac.runner.dask_runner.DaskParallelRunner.run"]], "smac.runner.dask_runner": [[116, "module-smac.runner.dask_runner"]], "submit_trial() (smac.runner.dask_runner.daskparallelrunner method)": [[116, "smac.runner.dask_runner.DaskParallelRunner.submit_trial"]], "wait() (smac.runner.dask_runner.daskparallelrunner method)": [[116, "smac.runner.dask_runner.DaskParallelRunner.wait"]], "smac.runner.exceptions": [[117, "module-smac.runner.exceptions"]], "targetfunctionrunner (class in smac.runner.target_function_runner)": [[118, "smac.runner.target_function_runner.TargetFunctionRunner"]], "__call__() (smac.runner.target_function_runner.targetfunctionrunner method)": [[118, "smac.runner.target_function_runner.TargetFunctionRunner.__call__"]], "meta (smac.runner.target_function_runner.targetfunctionrunner property)": [[118, "smac.runner.target_function_runner.TargetFunctionRunner.meta"]], "run() (smac.runner.target_function_runner.targetfunctionrunner method)": [[118, "smac.runner.target_function_runner.TargetFunctionRunner.run"]], "smac.runner.target_function_runner": [[118, "module-smac.runner.target_function_runner"]], "targetfunctionscriptrunner (class in smac.runner.target_function_script_runner)": [[119, "smac.runner.target_function_script_runner.TargetFunctionScriptRunner"]], "__call__() (smac.runner.target_function_script_runner.targetfunctionscriptrunner method)": [[119, "smac.runner.target_function_script_runner.TargetFunctionScriptRunner.__call__"]], "meta (smac.runner.target_function_script_runner.targetfunctionscriptrunner property)": [[119, "smac.runner.target_function_script_runner.TargetFunctionScriptRunner.meta"]], "run() (smac.runner.target_function_script_runner.targetfunctionscriptrunner method)": [[119, "smac.runner.target_function_script_runner.TargetFunctionScriptRunner.run"]], "smac.runner.target_function_script_runner": [[119, "module-smac.runner.target_function_script_runner"]], "scenario (class in smac.scenario)": [[120, "smac.scenario.Scenario"]], "__post_init__() (smac.scenario.scenario method)": [[120, "smac.scenario.Scenario.__post_init__"]], "count_instance_features() (smac.scenario.scenario method)": [[120, "smac.scenario.Scenario.count_instance_features"]], "count_objectives() (smac.scenario.scenario method)": [[120, "smac.scenario.Scenario.count_objectives"]], "load() (smac.scenario.scenario static method)": [[120, "smac.scenario.Scenario.load"]], "make_serializable() (smac.scenario.scenario static method)": [[120, "smac.scenario.Scenario.make_serializable"]], "meta (smac.scenario.scenario property)": [[120, "smac.scenario.Scenario.meta"]], "save() (smac.scenario.scenario method)": [[120, "smac.scenario.Scenario.save"]], "smac.scenario": [[120, "module-smac.scenario"]], "smac.utils": [[121, "module-smac.utils"]], "convert_configurations_to_array() (in module smac.utils.configspace)": [[122, "smac.utils.configspace.convert_configurations_to_array"]], "get_conditional_hyperparameters() (in module smac.utils.configspace)": [[122, "smac.utils.configspace.get_conditional_hyperparameters"]], "get_config_hash() (in module smac.utils.configspace)": [[122, "smac.utils.configspace.get_config_hash"]], "get_types() (in module smac.utils.configspace)": [[122, "smac.utils.configspace.get_types"]], "print_config_changes() (in module smac.utils.configspace)": [[122, "smac.utils.configspace.print_config_changes"]], "smac.utils.configspace": [[122, "module-smac.utils.configspace"]], "batch() (in module smac.utils.data_structures)": [[123, "smac.utils.data_structures.batch"]], "recursively_compare_dicts() (in module smac.utils.data_structures)": [[123, "smac.utils.data_structures.recursively_compare_dicts"]], "smac.utils.data_structures": [[123, "module-smac.utils.data_structures"]], "get_logger() (in module smac.utils.logging)": [[124, "smac.utils.logging.get_logger"]], "setup_logging() (in module smac.utils.logging)": [[124, "smac.utils.logging.setup_logging"]], "smac.utils.logging": [[124, "module-smac.utils.logging"]], "normalize_costs() (in module smac.utils.multi_objective)": [[125, "smac.utils.multi_objective.normalize_costs"]], "smac.utils.multi_objective": [[125, "module-smac.utils.multi_objective"]], "calculate_pareto_front() (in module smac.utils.pareto_front)": [[126, "smac.utils.pareto_front.calculate_pareto_front"]], "smac.utils.pareto_front": [[126, "module-smac.utils.pareto_front"]], "sort_by_crowding_distance() (in module smac.utils.pareto_front)": [[126, "smac.utils.pareto_front.sort_by_crowding_distance"]], "smac.utils.subspaces": [[127, "module-smac.utils.subspaces"]], "smac.utils.subspaces.boing_subspace": [[128, "module-smac.utils.subspaces.boing_subspace"]], "smac.utils.subspaces.turbo_subspace": [[129, "module-smac.utils.subspaces.turbo_subspace"]]}})
\ No newline at end of file
+Search.setIndex({"docnames": ["10_experimental", "1_installation", "2_package_overview", "3_getting_started", "4_minimal_example", "5_api", "6_references", "7_glossary", "8_faq", "9_license", "advanced_usage/10_continue", "advanced_usage/11_reproducibility", "advanced_usage/12_optimizations", "advanced_usage/1_components", "advanced_usage/2_multi_fidelity", "advanced_usage/3_multi_objective", "advanced_usage/4_instances", "advanced_usage/5_ask_and_tell", "advanced_usage/6_commandline", "advanced_usage/7_stopping_criteria", "advanced_usage/8_logging", "advanced_usage/9_parallelism", "advanced_usage/index", "api/smac.acquisition", "api/smac.acquisition.function", "api/smac.acquisition.function.abstract_acquisition_function", "api/smac.acquisition.function.confidence_bound", "api/smac.acquisition.function.expected_improvement", "api/smac.acquisition.function.integrated_acquisition_function", "api/smac.acquisition.function.prior_acqusition_function", 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58, 61, 71, 72, 113, 116, 124, 130, 131, 132, 134, 135, 138, 139, 142, 143, 146], "anaconda": [0, 8], "download": [0, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146, 149], "an": [0, 1, 2, 3, 7, 8, 13, 14, 15, 17, 18, 21, 24, 25, 32, 33, 35, 39, 40, 42, 43, 44, 45, 47, 49, 57, 58, 60, 67, 77, 89, 91, 93, 94, 95, 96, 97, 98, 99, 112, 113, 114, 115, 116, 117, 118, 119, 123, 124, 130, 131, 135, 136, 137, 138, 139, 143, 149, 152, 153], "version": [0, 1, 3, 8, 13, 19, 20, 32, 36], "drive": 0, "d": [0, 18, 20, 24, 26, 146], "e": [0, 1, 2, 7, 12, 13, 15, 18, 21, 24, 27, 32, 36, 42, 46, 48, 57, 61, 63, 78, 80, 113, 114, 139], "g": [0, 2, 6, 7, 12, 13, 15, 18, 21, 32, 36, 139], "anaconda3": 0, "2023": 0, "03": [0, 141, 148, 153], "x86_64": 0, "In": [0, 3, 7, 12, 13, 14, 15, 16, 18, 19, 22, 32, 33, 42, 43, 57, 58, 61, 64, 67, 69, 77, 78, 79, 83, 98, 99, 112, 113, 114, 115, 116, 118, 120, 133, 134, 138, 139, 142, 143, 152], "resourc": [0, 21, 113, 116, 118], "ar": [0, 2, 3, 7, 8, 12, 13, 14, 15, 16, 17, 18, 19, 21, 24, 25, 27, 32, 35, 36, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 57, 58, 60, 61, 63, 64, 65, 66, 67, 68, 69, 71, 72, 77, 79, 85, 87, 98, 100, 101, 112, 113, 114, 115, 116, 118, 119, 120, 122, 125, 130, 131, 132, 134, 135, 138, 139, 142, 143, 146], "mount": 0, "mnt": 0, "cd": [0, 1], "bash": [0, 18, 146], "enter": 0, "command": [0, 1, 2, 7, 21, 22], "creat": [0, 1, 8, 24, 25, 26, 27, 28, 29, 30, 32, 33, 36, 37, 42, 43, 50, 51, 57, 58, 61, 63, 64, 65, 66, 67, 68, 69, 71, 72, 73, 77, 78, 79, 80, 81, 82, 83, 85, 87, 89, 90, 91, 92, 93, 94, 95, 96, 97, 100, 101, 113, 114, 116, 118, 119, 131, 134, 135, 138, 139, 143], "environ": [0, 1, 3, 4, 42, 43, 120, 130, 133, 134, 135, 138, 143, 146], "variabl": [0, 3, 18, 57, 58, 59, 60, 61, 64, 120, 135, 138, 143], "export": 0, "path": [0, 3, 18, 20, 42, 43, 64, 98, 112, 120, 124], "home": [0, 131, 133], "user": [0, 6, 10, 12, 13, 17, 18, 19, 20, 24, 29, 32, 36, 42, 43, 46, 48, 57, 60, 61, 64, 113, 114, 116, 118, 136, 137, 149, 153], "bin": [0, 18, 24, 29, 146], "input": [0, 2, 7, 13, 24, 26, 42, 46, 48, 57, 60, 61, 65, 66, 67, 69, 79, 84, 85, 87, 100, 104, 125, 132], "python": [0, 1, 2, 8, 18, 35, 67, 69, 77, 79, 113, 118, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146, 147, 149, 152], "check": [0, 1, 13, 57, 58, 63, 64, 93, 94, 95, 96, 97, 98, 112, 113, 114, 120, 134], "success": [0, 7, 14, 17, 18, 42, 46, 48, 57, 61, 98, 99, 100, 101, 103, 104, 106, 107, 108, 112, 119, 138, 139], "3": [0, 1, 7, 9, 13, 15, 42, 44, 45, 46, 47, 48, 49, 57, 59, 60, 61, 85, 87, 93, 96, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146, 152], "your": [0, 1, 2, 3, 7, 8, 15, 16, 18, 20, 21, 22, 42, 43, 64, 113, 114, 116, 118, 120, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146], "folder": [0, 64], "gener": [0, 3, 7, 8, 10, 12, 13, 14, 35, 42, 43, 50, 54, 56, 57, 58, 89, 90, 113, 114, 115, 116, 120, 131, 151, 152], "softwar": [0, 9], "sudo": 0, "apt": [0, 1], "properti": [0, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 36, 37, 42, 43, 50, 51, 57, 58, 60, 61, 63, 64, 65, 66, 67, 68, 69, 71, 72, 73, 77, 78, 79, 80, 81, 82, 83, 84, 85, 87, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 100, 101, 112, 113, 114, 118, 119, 120, 130, 131, 132, 133, 134, 135, 138, 139, 143], "common": [0, 3, 113, 114, 116, 135], "updat": [0, 1, 13, 18, 24, 25, 39, 40, 42, 43, 49, 57, 58, 64, 89, 90, 92, 98, 112, 134], "build": [0, 1, 131, 135, 138, 139], "essenti": [0, 39, 40], "swig": [0, 1], "conda": 0, "gxx_linux": [0, 1], "64": [0, 1, 32, 37], "gcc_linux": [0, 1], "curl": 0, "http": [0, 1, 6, 9, 24, 28, 50, 54, 56, 89, 92, 126, 138, 152], "raw": 0, "githubusercont": 0, "com": [0, 1, 126, 152], "automl": [0, 1, 8, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146, 152], "smac3": [0, 1, 8, 131, 133, 152], "master": 0, "requir": [0, 3, 8, 13, 14, 21, 24, 25, 29, 31, 32, 34, 57, 61, 63, 85, 87, 98, 112, 113, 114, 118, 119, 120, 139], "txt": 0, "xarg": 0, "n": [0, 1, 6, 24, 25, 28, 31, 57, 60, 63, 67, 69, 77, 79, 113, 116, 123, 142, 143, 150], "l": [0, 6], "pip": [0, 1], "written": [1, 57, 58, 152], "python3": [1, 131, 138, 152], "therefor": [1, 3, 7, 13, 42, 49, 71, 72, 120, 138, 143], "8": [1, 3, 12, 13, 42, 43, 45, 57, 61, 63, 85, 87, 131, 135, 138, 142, 143, 146, 152], "furthermor": [1, 57, 58, 133], "random": [1, 3, 7, 22, 24, 29, 32, 33, 35, 36, 38, 42, 43, 44, 45, 46, 47, 48, 49, 50, 55, 57, 58, 60, 61, 65, 66, 85, 86, 87, 88, 93, 94, 95, 96, 97, 120, 131, 135, 138, 143, 152], "forest": [1, 3, 7, 13, 24, 29, 32, 36, 42, 44, 47, 65, 66, 85, 86, 87, 131, 135, 152], "us": [1, 2, 3, 4, 7, 8, 9, 11, 13, 14, 15, 16, 18, 19, 21, 24, 25, 29, 31, 32, 33, 34, 35, 36, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 71, 72, 77, 78, 79, 81, 83, 84, 85, 87, 93, 95, 96, 97, 98, 99, 100, 101, 105, 106, 107, 109, 112, 113, 114, 116, 118, 119, 120, 122, 123, 124, 130, 131, 132, 133, 134, 135, 139, 140, 141, 142, 143, 146, 147, 149, 152, 153], "depend": [1, 2, 3, 8, 12, 13, 18, 22, 42, 45, 65, 66, 89, 90, 113, 117, 120, 131], "either": [1, 3, 8, 42, 43, 67, 77, 98, 112, 113, 118], "system": 1, "directli": [1, 3, 13, 14, 15, 18, 113, 118], "The": [1, 2, 3, 4, 7, 8, 10, 12, 13, 14, 15, 18, 19, 20, 21, 24, 25, 32, 33, 34, 36, 42, 43, 44, 45, 47, 49, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 71, 72, 77, 78, 79, 80, 83, 84, 85, 87, 93, 94, 96, 98, 99, 100, 101, 112, 113, 114, 115, 116, 118, 119, 120, 122, 126, 130, 132, 138, 142, 143, 152], "machin": [1, 4, 24, 28, 136, 137, 149, 152, 153], "follow": [1, 2, 3, 4, 8, 12, 13, 15, 16, 18, 20, 42, 49, 57, 60, 61, 85, 87, 113, 114, 116, 119, 146, 152], "mac": [1, 8], "9": [1, 32, 34, 138, 139, 142, 152], "10": [1, 3, 7, 20, 24, 29, 32, 36, 37, 42, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 58, 59, 60, 61, 67, 69, 85, 87, 130, 131, 132, 133, 134, 135, 138, 142, 143, 152], "we": [1, 3, 7, 8, 13, 15, 16, 18, 22, 24, 31, 32, 33, 42, 43, 49, 57, 58, 61, 63, 64, 67, 77, 79, 113, 114, 116, 118, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146, 149, 152], "recommend": [1, 8, 12, 13, 18, 22], "activ": [1, 8, 71, 72, 113, 116, 135, 138, 143], "haven": 1, "t": [1, 3, 8, 24, 26, 27, 30, 31, 71, 72, 134], "yet": [1, 8, 57, 61, 130, 131, 132, 134, 135, 138, 139, 142, 143, 146], "insid": [1, 13, 21, 133], "now": [1, 15, 130, 131, 132, 133, 134, 139, 146], "pypi": 1, "Or": [1, 15], "altern": [1, 15, 131, 139], "clone": 1, "from": [1, 2, 3, 4, 8, 10, 13, 18, 19, 20, 32, 33, 34, 36, 42, 43, 49, 50, 51, 57, 58, 60, 61, 63, 64, 67, 69, 71, 72, 79, 98, 112, 113, 114, 116, 118, 119, 120, 126, 130, 131, 132, 133, 134, 135, 137, 138, 139, 141, 142, 143, 145, 147, 148, 149, 150, 153], "github": [1, 8, 50, 56, 126, 152], "git": 1, "dev": 1, "channel": 1, "achiev": [1, 3], "ad": [1, 13, 39, 40, 57, 58, 60, 61, 71, 72, 98, 112, 122, 130, 131, 132, 134, 135, 138, 139, 142, 143, 146], "config": [1, 3, 4, 7, 13, 39, 40, 42, 43, 48, 50, 51, 57, 58, 60, 61, 63, 64, 98, 99, 110, 112, 113, 114, 116, 118, 119, 120, 122, 126, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146], "add": [1, 8, 13, 16, 42, 43, 44, 45, 47, 48, 49, 50, 51, 57, 60, 61, 64, 98, 112, 131, 135, 138, 139, 143], "set": [1, 2, 6, 8, 10, 13, 18, 19, 42, 45, 46, 47, 48, 49, 50, 51, 57, 58, 59, 60, 61, 64, 93, 95, 97, 98, 112, 113, 118, 120, 124, 125, 131, 134, 135, 142, 143, 146], "channel_prior": 1, "strict": 1, "must": [1, 3, 18, 32, 33, 35, 42, 44, 45, 47, 49, 65, 66, 71, 72, 78, 79, 80, 83, 84, 89, 91, 113, 118, 119, 120, 138], "have": [1, 7, 8, 9, 10, 13, 14, 15, 17, 18, 21, 32, 36, 42, 43, 49, 57, 58, 63, 64, 98, 99, 112, 113, 114, 115, 116, 118, 132, 135, 138, 139, 143], "4": [1, 2, 13, 18, 42, 44, 57, 61, 119, 130, 132, 133, 135, 138, 139, 142, 143], "To": [1, 8, 10, 13, 16, 113, 116, 134, 135, 138], "current": [1, 7, 10, 13, 21, 24, 25, 27, 28, 32, 33, 42, 43, 49, 57, 58, 59, 60, 61, 64, 67, 69, 93, 97, 98, 99, 100, 101, 112, 133], "instruct": 1, "offici": 1, "document": [1, 3, 32, 34, 57, 59], "onc": 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7, 8, 13, 14, 18, 32, 36, 37, 42, 43, 44, 46, 47, 48, 49, 57, 58, 61, 64, 85, 87, 98, 112, 113, 114, 120, 124, 139, 152], "hyperparamet": [2, 3, 4, 6, 7, 13, 18, 24, 28, 29, 32, 36, 42, 43, 45, 47, 48, 50, 51, 65, 66, 67, 69, 71, 72, 73, 77, 78, 79, 83, 84, 85, 87, 122, 130, 131, 132, 133, 134, 135, 138, 143, 146, 152], "configur": [2, 4, 7, 8, 12, 15, 17, 18, 22, 24, 25, 32, 33, 35, 36, 38, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 55, 57, 58, 60, 61, 63, 64, 78, 79, 83, 93, 94, 95, 96, 97, 98, 99, 100, 101, 112, 113, 114, 115, 116, 118, 119, 120, 122, 124, 126, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146, 152], "algorithm": [2, 3, 6, 7, 8, 14, 15, 22, 24, 28, 32, 34, 42, 43, 44, 45, 46, 47, 49, 57, 58, 98, 100, 101, 112, 113, 114, 118, 119, 126, 131, 139, 152], "By": [2, 138], "being": [2, 7, 71, 72, 113, 118], "robust": [2, 67, 69, 77, 79], "flexibl": [2, 67, 69, 77, 79], "framework": [2, 3, 7, 67, 69, 77, 79], "bayesian": [2, 6, 7, 13, 24, 28, 29, 42, 43, 64, 67, 69, 77, 79, 93, 96, 133, 152], "optim": [2, 3, 4, 6, 7, 8, 13, 17, 19, 20, 21, 22, 24, 26, 28, 29, 31, 32, 34, 36, 39, 40, 41, 42, 43, 49, 57, 58, 64, 67, 69, 77, 79, 89, 90, 93, 96, 120, 130, 131, 132, 133, 135, 136, 137, 138, 139, 142, 143, 146, 147, 149, 152, 153], "improv": [2, 3, 13, 24, 27, 30, 42, 44, 45, 47, 100, 103], "within": [2, 63, 113, 116], "few": [2, 7, 42, 49, 139], "function": [2, 6, 7, 8, 12, 14, 15, 21, 22, 32, 33, 34, 35, 36, 39, 40, 42, 43, 44, 45, 47, 49, 63, 64, 67, 69, 71, 72, 77, 98, 100, 101, 103, 112, 113, 114, 115, 116, 117, 118, 119, 120, 131, 132, 134, 135, 136, 137, 138, 139, 143, 144, 145, 147, 148, 149, 153], "evalu": [2, 3, 7, 8, 12, 13, 14, 19, 21, 24, 25, 32, 33, 34, 42, 43, 44, 45, 47, 49, 50, 51, 52, 55, 57, 58, 60, 61, 63, 71, 72, 93, 94, 95, 96, 97, 98, 99, 112, 113, 118, 120, 130, 131, 132, 133, 138, 139, 142, 143], "It": [2, 7, 13, 17, 57, 58, 63, 85, 87, 113, 116, 131, 132], "offer": [2, 3, 15, 113, 114], "sever": [2, 35, 39, 40, 149], "entri": [2, 3], "point": [2, 3, 13, 15, 24, 26, 32, 33, 36, 42, 44, 47, 57, 58, 65, 66, 67, 69, 84, 85, 87, 142], "pre": [2, 16], "typic": 2, "solv": 2, "low": [2, 3, 12, 13, 42, 49], "dimension": [2, 13, 42, 44, 65, 66, 67, 68, 69, 77, 85, 87, 132], "continu": [2, 13, 22, 32, 34, 42, 43, 45, 57, 58, 59, 60, 61, 63, 98, 112, 131, 132, 135, 136, 137, 138, 142, 149, 152, 153], "artifici": [2, 134], "global": [2, 7, 20, 32, 34, 57, 58], "problem": [2, 6, 7, 8, 42, 43, 113, 114, 116, 118, 119, 130, 132], "across": [2, 7, 22, 42, 43, 46, 48, 57, 61, 64, 98, 112, 113, 114, 116, 118, 139], "multipl": [2, 7, 8, 13, 14, 15, 21, 24, 29, 42, 43, 50, 51, 65, 84, 98, 112, 120, 135, 140, 141, 143, 149, 153], "instanc": [2, 3, 7, 8, 13, 14, 18, 19, 22, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 60, 61, 64, 65, 66, 67, 68, 69, 77, 84, 85, 87, 98, 99, 100, 101, 112, 113, 114, 116, 118, 119, 120, 122, 126, 130, 132, 134, 135, 138, 139, 143, 146], "characterist": 2, "capabl": [2, 113, 116], "sampl": 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7, 13, 15, 22, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35, 36, 37, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 71, 72, 73, 77, 78, 79, 80, 81, 82, 83, 84, 85, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 112, 113, 114, 115, 116, 118, 119, 120, 122, 123, 124, 125, 126, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146], "exampl": [3, 7, 8, 10, 13, 14, 15, 16, 17, 18, 21, 24, 25, 42, 43, 45, 47, 48, 50, 51, 57, 58, 61, 63, 64, 113, 114, 116, 118, 119, 120, 130, 131, 132, 133, 134, 135, 137, 138, 139, 141, 142, 143, 145, 146, 148, 150, 153], "could": [3, 8, 13, 18, 113, 117, 120, 139], "neural": [3, 138], "network": [3, 42, 43, 64, 113, 114, 116, 118, 135, 138], "predict": [3, 13, 32, 36, 65, 66, 84, 85, 87], "data": [3, 4, 7, 10, 13, 14, 24, 25, 26, 27, 28, 29, 30, 32, 33, 36, 37, 42, 43, 44, 47, 50, 51, 57, 58, 61, 63, 64, 65, 66, 67, 68, 69, 71, 72, 73, 77, 78, 79, 80, 81, 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132, 134, 142, 146], "true": [4, 10, 42, 43, 44, 47, 48, 64, 67, 69, 71, 72, 77, 85, 87, 98, 112, 120, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146], "200": [4, 15, 133, 138, 139, 143], "incumb": [4, 7, 13, 15, 18, 19, 24, 27, 28, 30, 32, 33, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 60, 61, 64, 99, 122, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146], "ljdr18": [6, 42, 46], "li": [6, 57, 58], "k": [6, 13, 32, 34, 71, 72, 98, 112, 130, 152], "jamieson": 6, "desalvo": 6, "rostamizadeh": 6, "talwalkar": 6, "novel": [6, 7], "bandit": [6, 7], "base": [6, 7, 8, 13, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 125, 131, 139, 152], 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16, 19, 21, 67, 71, 72, 77, 98, 112, 113, 114, 115, 116, 130, 131], "refer": [7, 8, 13, 14, 42, 48, 50, 54, 56, 57, 58, 152], "anoth": [7, 13, 98, 112], "word": [7, 13, 19], "epoch": [7, 14, 120, 140, 141, 149, 153], "size": [7, 120, 123, 135, 138], "subset": [7, 14, 16, 98, 112, 120, 139], "context": [7, 120], "sai": 7, "them": [7, 13, 100, 105, 107, 108, 109, 113, 116, 138, 143], "extens": 7, "halv": [7, 14, 17, 42, 46, 48, 57, 61, 138, 139], "known": 7, "often": [7, 8, 12, 13, 15, 16, 32, 34, 42, 49, 57, 58, 63, 132], "even": [7, 9, 13, 16, 19, 21], "transform": [7, 13, 42, 43, 79, 85, 87, 89, 90, 91, 92, 100, 101, 103, 105, 106, 107, 108, 109, 139], "call": [7, 13, 17, 22, 24, 25, 32, 33, 37, 39, 40, 41, 42, 43, 49, 50, 51, 57, 58, 64, 65, 66, 71, 72, 73, 78, 79, 83, 88, 113, 114, 115, 116, 118, 119, 123, 131, 132, 134, 135, 147, 148, 149, 153], "so": [7, 10, 13, 19, 24, 26, 27, 42, 43, 46, 48, 57, 61, 64, 99, 113, 114, 115, 116, 133, 134, 135, 138], "found": [7, 8, 10, 13, 24, 29, 42, 43, 57, 58, 60, 64, 93, 96, 130, 134, 146, 152], "superior": 7, "intensif": [7, 13, 17, 39, 40, 57, 60, 138], "mechan": [7, 113, 114, 138, 152], "govern": 7, "when": [7, 13, 14, 17, 21, 42, 43, 44, 46, 48, 49, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 71, 72, 77, 85, 87, 113, 114, 116, 118, 120, 124, 138], "trust": 7, "enough": [7, 42, 49, 113, 114], "make": [7, 8, 12, 13, 15, 18, 24, 31, 57, 58, 60, 61, 67, 77, 93, 96, 113, 114, 115, 116, 120, 134, 135, 138, 139, 143], "new": [7, 8, 10, 13, 21, 35, 39, 40, 42, 49, 57, 58, 60, 61, 63, 98, 112, 130, 131, 132, 134, 135, 138, 139, 142, 143, 146], "therebi": [7, 14], "prematur": [7, 10, 14], "than": [7, 12, 32, 34, 42, 48, 49, 57, 58, 60, 64, 78, 79, 80, 85, 87, 120, 130, 132, 134, 135, 138, 139, 142, 143, 146], "goal": 7, "solut": [7, 8, 32, 34, 38], "least": [7, 98, 112, 138], "good": [7, 138], "compromis": 7, "metric": 7, "qualiti": 7, "free": [7, 8, 9, 42, 46], "select": [7, 13, 42, 43, 46, 48, 49, 50, 51, 53, 57, 61, 63, 98, 112, 113, 114, 143], "uniformli": [7, 42, 49], "iter": [7, 13, 19, 32, 33, 35, 36, 37, 39, 40, 42, 43, 45, 47, 57, 58, 60, 63, 89, 90, 92, 93, 94, 95, 96, 97, 98, 112, 113, 114, 115, 116, 123], "compar": [7, 13, 19, 42, 46, 49, 57, 58, 61, 122, 123, 126, 138], "against": [7, 8, 42, 48, 57, 58, 60], "extend": 7, "chapter": [7, 22], "cost": [7, 13, 15, 16, 18, 22, 42, 43, 47, 57, 58, 61, 64, 89, 90, 91, 92, 98, 99, 100, 101, 112, 113, 114, 116, 118, 119, 120, 125, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146], "given": [7, 18, 24, 25, 26, 42, 48, 57, 58, 61, 65, 66, 93, 95, 97, 98, 100, 101, 112, 113, 114, 118, 119, 125, 126, 139], "singl": [7, 12, 13, 15, 18, 42, 44, 47, 49, 57, 58, 65, 84, 85, 87, 89, 90, 91, 92, 98, 112, 113, 114, 115, 116, 119, 138], "combin": [7, 42, 43, 57, 58, 64, 89, 90, 91, 92, 98, 112, 113, 114, 116, 120, 131, 138, 139, 152], "should": [8, 9, 13, 18, 20, 24, 25, 35, 42, 43, 44, 45, 47, 49, 57, 58, 60, 63, 64, 65, 71, 72, 84, 93, 94, 95, 96, 97, 120, 126, 130, 132], "smac2": [8, 85, 87, 134], "reimplement": 8, "origin": [8, 15, 32, 36, 78, 79, 83, 125, 152], "et": [8, 24, 28, 29, 67, 77], "al": [8, 24, 28, 29, 67, 77], "2021": [8, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146], "slightli": 8, "comparison": [8, 42, 48, 57, 58], "stabl": 8, "releas": 8, "java": 8, "sinc": [8, 13, 15, 18, 19, 22, 42, 49, 57, 58, 138, 142, 143], "maintain": 8, "applic": [8, 14], "cannot": [8, 21], "root": [8, 20, 100, 109, 123], "directori": [8, 64, 120], "instal": 8, "pyrfr": 8, "rais": [8, 21, 100, 101, 135, 138, 143], "cryptic": 8, "error": [8, 20, 21], "ensur": [8, 11, 24, 29, 120], "gcc": 8, "compil": 8, "same": [8, 13, 32, 36, 42, 44, 45, 46, 47, 48, 49, 57, 60, 61, 89, 91, 98, 112, 125, 134], "link": 8, "dure": [8, 13, 32, 36, 37, 42, 43, 49, 64, 85, 87], "happen": [8, 13], "facad": [8, 10, 13, 14, 15, 20, 64, 120, 130, 131, 135, 138, 142, 143], "discov": 8, "bug": 8, "behav": [8, 24, 29], "report": [8, 17], "open": 8, "issu": [8, 13, 32, 36, 42, 47, 152], "our": [8, 10, 14, 15, 17, 21, 131, 135, 138, 139, 143, 146, 152], "list": [8, 12, 15, 18, 24, 25, 28, 32, 33, 35, 42, 43, 44, 45, 47, 48, 49, 50, 51, 57, 58, 61, 64, 65, 66, 67, 68, 69, 71, 72, 77, 84, 85, 87, 89, 90, 91, 92, 93, 94, 98, 99, 100, 101, 112, 113, 114, 115, 116, 118, 119, 120, 122, 123, 125, 126, 130, 138, 139, 143], "befor": [8, 13, 21, 24, 25, 32, 36, 37, 39, 40, 41, 42, 43, 47, 63, 64, 67, 77, 93, 96, 113, 114, 115, 116, 134, 138, 143], "sure": [8, 13, 15, 18, 67, 77, 93, 96, 113, 114, 116, 117, 134], "hasn": 8, "alreadi": [8, 13, 24, 25, 57, 60, 63, 64, 98, 112, 132, 134, 138], "tracker": [8, 13, 57, 59, 61], "latest": [8, 57, 58], "inform": [8, 10, 13, 42, 43, 50, 54, 56, 57, 58, 61, 64, 98, 99, 112, 113, 114, 116, 118, 119, 131], "descript": 8, "reproduc": [8, 21, 22, 120], "about": [8, 12, 13, 57, 60, 64, 71, 72, 98, 99, 113, 114, 131, 135], "setup": [8, 10, 42, 43, 49, 64, 124], "help": [8, 12], "resolv": 8, "packag": [8, 131, 138, 152], "feel": 8, "screenshot": 8, "contribut": [8, 152], "discuss": [8, 22], "care": [8, 13, 42, 43], "question": 8, "feedback": 8, "prefer": 8, "locat": [8, 24, 27], "featur": [8, 13, 16, 18, 42, 44, 47, 65, 66, 67, 68, 69, 77, 84, 85, 87, 100, 101, 119, 120, 122, 139], "ongo": 8, "look": [8, 10, 14, 17, 35, 42, 49], "guid": [8, 13], "flag": [8, 134], "fals": [8, 10, 20, 24, 27, 29, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 61, 64, 67, 71, 72, 73, 74, 75, 76, 77, 85, 87, 98, 112, 113, 116, 120, 124, 131, 132, 133, 134], "non": [8, 18, 24, 29, 71, 72, 147, 149], "thu": [8, 16, 32, 33, 135], "nevertheless": [8, 113, 116], "still": [8, 10, 13, 15, 18, 21, 98, 112, 113, 114, 115, 116, 132], "why": [8, 14], "colab": 8, "crash": [8, 100, 101, 103, 104, 106, 107, 108, 113, 117, 131], "child": [8, 21, 50, 51, 113, 114, 131, 138, 143], "pynish": [8, 21, 113, 118, 120], "enforc": [8, 120], "memori": [8, 42, 43, 64, 113, 114, 116, 118, 120], "runner": [8, 13, 64, 131, 133], "mai": [8, 57, 58], "overcom": 8, "remov": [8, 24, 29, 32, 36, 57, 60, 119, 142, 143], "program": [9, 21, 63], "redistribut": 9, "modifi": [9, 21], "term": 9, "claus": [9, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146], "bsd": [9, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146], "distribut": [9, 13, 42, 43, 64, 78, 80, 82, 85, 87, 113, 114, 116, 118, 138], "hope": 9, "warranti": 9, "impli": [9, 138], "merchant": 9, "FOR": 9, "particular": 9, "purpos": [9, 16], "receiv": [9, 13, 15, 18, 63, 98, 112, 113, 116], "copi": [9, 24, 28, 57, 58], "along": [9, 65, 66], "opensourc": 9, "automat": [10, 22, 42, 43, 113, 116], "restor": [10, 57, 58, 59, 60, 61], "state": [10, 13, 57, 58, 59, 60, 61, 89, 90, 92, 93, 95, 96, 97, 98, 100, 101, 112, 131], "left": [10, 24, 27, 42, 43, 71, 72], "off": [10, 13, 24, 26, 27, 42, 43], "interrupt": 10, "finish": [10, 13, 21, 39, 40, 98, 112, 113, 114, 115, 116, 130, 131, 132, 133, 134, 138, 139, 142], "old": [10, 42, 43, 64, 134], "deriv": [10, 134, 135], "obtain": 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"module-smac.utils.logging"]], "normalize_costs() (in module smac.utils.multi_objective)": [[125, "smac.utils.multi_objective.normalize_costs"]], "smac.utils.multi_objective": [[125, "module-smac.utils.multi_objective"]], "calculate_pareto_front() (in module smac.utils.pareto_front)": [[126, "smac.utils.pareto_front.calculate_pareto_front"]], "smac.utils.pareto_front": [[126, "module-smac.utils.pareto_front"]], "sort_by_crowding_distance() (in module smac.utils.pareto_front)": [[126, "smac.utils.pareto_front.sort_by_crowding_distance"]], "smac.utils.subspaces": [[127, "module-smac.utils.subspaces"]], "smac.utils.subspaces.boing_subspace": [[128, "module-smac.utils.subspaces.boing_subspace"]], "smac.utils.subspaces.turbo_subspace": [[129, "module-smac.utils.subspaces.turbo_subspace"]]}})
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SMAC3 Documentation

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Computation times

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04:21.014 total execution time for 11 files from all galleries:

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Example
Time
Mem (MB)
Multi-Layer Perceptron Using Multiple Epochs (../examples/2_multi_fidelity/1_mlp_epochs.py)
02:28.424
0.0
Stochastic Gradient Descent On Multiple Datasets (../examples/2_multi_fidelity/2_sgd_datasets.py)
00:35.078
0.0
ParEGO (../examples/3_multi_objective/2_parego.py)
00:34.296
0.0
User Priors over the Optimum (../examples/1_basics/6_priors.py)
00:24.000
0.0
2D Schaffer Function with Objective Weights (../examples/3_multi_objective/1_schaffer.py)
00:08.490
0.0
Call Target Function From Script (../examples/5_commandline/1_call_target_function_script.py)
00:03.944
0.0
Ask-and-Tell (../examples/1_basics/3_ask_and_tell.py)
00:02.636
0.0
Quadratic Function (../examples/1_basics/1_quadratic_function.py)
00:02.398
0.0
Continue an Optimization (../examples/1_basics/5_continue.py)
00:00.814
0.0
Support Vector Machine with Cross-Validation (../examples/1_basics/2_svm_cv.py)
00:00.788
0.0
Custom Callback (../examples/1_basics/4_callback.py)
00:00.147
0.0

+

+

+
+
+              

+              
+              
+              
+

+

+              
+          

+          
+
+      

+    

+  
+  
+

+  

+    
+    

+      

+    © Copyright 
+    Copyright 2023, Marius Lindauer, Katharina Eggensperger,
+    Matthias Feurer, André Biedenkapp, Difan Deng, Carolin Benjamins, Tim Ruhkopf, René Sass
+    and Frank Hutter.

+

+    

+    
+    

+      

+Created using Sphinx
+7.2.6. Template is modified version of PyData Sphinx Theme. 

+

+    

+    
+  

+

+  
+
\ No newline at end of file
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diff --git a/v2.0.2/.doctrees/api/smac.callback.callback.doctree b/v2.0.2/.doctrees/api/smac.callback.callback.doctree
index 20178a5e050f99e556f85106d4a2bde11cd17fa4..eb2ed03f4200992e6d901fdfb09fc1af95eadd90 100644
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diff --git a/v2.0.2/.doctrees/api/smac.callback.doctree b/v2.0.2/.doctrees/api/smac.callback.doctree
index 11d725f93106e2e0f21d555a66c53c42e3730ef0..9cc17ea06e47733093242839c61d510cea6f9195 100644
GIT binary patch
delta 6204
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diff --git a/v2.0.2/.doctrees/api/smac.callback.metadata_callback.doctree b/v2.0.2/.doctrees/api/smac.callback.metadata_callback.doctree
index a2970f77e6447cb87eb0fcaad48b4e3d401cbfe0..7a413964765c605c084341c71bf9885c6cee55a3 100644
GIT binary patch
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diff --git a/v2.0.2/.doctrees/api/smac.facade.algorithm_configuration_facade.doctree b/v2.0.2/.doctrees/api/smac.facade.algorithm_configuration_facade.doctree
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diff --git a/v2.0.2/.doctrees/api/smac.facade.doctree b/v2.0.2/.doctrees/api/smac.facade.doctree
index 697e4bc1c72504ffdacbec634a53738c93aa97ce..76db1da7c945490f54679c2ca50d7e22b4034dbb 100644
GIT binary patch
delta 67979
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diff --git a/v2.0.2/.doctrees/api/smac.facade.hyperband_facade.doctree b/v2.0.2/.doctrees/api/smac.facade.hyperband_facade.doctree
index 86b9528b3361b5e6e4cfda6bebda351dbc5b9d36..6f96474a78f2232a4a2e042124dc40da3aab698c 100644
GIT binary patch
delta 1201
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r%otiIaMCzgEe>(BE*39Kv5CZm(V_ATM(d+G>2;wk_z@KR8r1#(jSWY0

diff --git a/v2.0.2/.doctrees/api/smac.facade.hyperparameter_optimization_facade.doctree b/v2.0.2/.doctrees/api/smac.facade.hyperparameter_optimization_facade.doctree
index 7b261fe2daf364d8950fc4850b4ddc9d83a13310..ae06e0ca146c15e369c089c0a37b19764e7d2e7b 100644
GIT binary patch
delta 9811
zcmb7K30#y_*PnAihXDr|_F-6L&=eRp;jP3iDiv~h(@aVe7+_);kX_3q1ZffkeQoAzX|^x+(_FE>-15at?K|h*S*@Q_{(e5sbC+}OIp^N>)>uv)n>N##fkm!f6|n;Y1R~5H%gAYKH}~7ns{w#k8Qd6fuM_1t5hw1
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zr;wI%BXZQdW^g|~prjjGRT3Ze>L{cBL
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E0U`7@U;qFB

delta 9049
zcma)CdtB93ws&p8bC9>dIh=DiJPwBOeyXY5)XD*cOmxy2r9eo-6Dg)vmZq3>wa5nx
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diff --git a/v2.0.2/.doctrees/api/smac.facade.random_facade.doctree b/v2.0.2/.doctrees/api/smac.facade.random_facade.doctree
index 750004f64ff7088f5fd87d28aaad9eb0ed04aec6..c042e9efc42212bfd6b9eb3a05a29d3d033a4ef6 100644
GIT binary patch
delta 6161
zcmb7IdsNg_9-n)8%)mUDK?RAIK*&QtM#&f1$u~J#5Go-W3@|eDla~&VnyFx>7Olh=
z91vZ)RYy7W!lE+~@akKlgsV
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ziqR?Z%|(lX*N0mL9
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diff --git a/v2.0.2/.doctrees/api/smac.intensifier.abstract_intensifier.doctree b/v2.0.2/.doctrees/api/smac.intensifier.abstract_intensifier.doctree
index 1ccf29602d9b59f99caf4f3f7511c741d3a340bb..31de9fcbd3703da9291b932557a61261aa5458e8 100644
GIT binary patch
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diff --git a/v2.0.2/.doctrees/api/smac.intensifier.doctree b/v2.0.2/.doctrees/api/smac.intensifier.doctree
index d51813ddeb72ce506708cf402eb0d822c7eb7241..84f6061a8fe16dc7c3201b6c4b6535eded8c732b 100644
GIT binary patch
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diff --git a/v2.0.2/.doctrees/api/smac.intensifier.hyperband.doctree b/v2.0.2/.doctrees/api/smac.intensifier.hyperband.doctree
index 345859f0faa5c8b17c9bc4723e1415bbe6e01287..9769d47b559b56f3523295af14b730dbf1bf6a4e 100644
GIT binary patch
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diff --git a/v2.0.2/.doctrees/api/smac.main.smbo.doctree b/v2.0.2/.doctrees/api/smac.main.smbo.doctree
index 674e28f5b18ed5fd0d24f186ca53256197a2d358..638ae17760e5f47200707fe42b9ed37f04b4301a 100644
GIT binary patch
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diff --git a/v2.0.2/.doctrees/api/smac.random_design.abstract_random_design.doctree b/v2.0.2/.doctrees/api/smac.random_design.abstract_random_design.doctree
index 38676faac1bf679719d2a8277ec509c6e34a1567..3242a8e664f594689a9970adf5c207f485cd1b47 100644
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diff --git a/v2.0.2/.doctrees/api/smac.random_design.modulus_design.doctree b/v2.0.2/.doctrees/api/smac.random_design.modulus_design.doctree
index 34b0ec5430e140ad0ff7db9803dbce57497f998b..c4960cc559f7abeff5980f048f365294d83c8a13 100644
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diff --git a/v2.0.2/.doctrees/api/smac.random_design.probability_design.doctree b/v2.0.2/.doctrees/api/smac.random_design.probability_design.doctree
index 1b0f073d3b6e989404ce51fd10e34440a0a083ab..fddc010c45a52320c3f83e8d4866b440b26b77e7 100644
GIT binary patch
delta 2308
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diff --git a/v2.0.2/.doctrees/api/smac.runhistory.dataclasses.doctree b/v2.0.2/.doctrees/api/smac.runhistory.dataclasses.doctree
index 926ca81d6369b284fb104378f6cf1b851894eddb..726947b6ccc1a0c34e5510c9310ef1f8cc89c117 100644
GIT binary patch
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diff --git a/v2.0.2/.doctrees/api/smac.runhistory.encoder.abstract_encoder.doctree b/v2.0.2/.doctrees/api/smac.runhistory.encoder.abstract_encoder.doctree
index e6a516bd53ac3c7ba27c099bd47261f31716f43c..9fbe12589085d68640b4de52179a76a982773964 100644
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diff --git a/v2.0.2/.doctrees/api/smac.runhistory.encoder.encoder.doctree b/v2.0.2/.doctrees/api/smac.runhistory.encoder.encoder.doctree
index 75aa367035899c33680d59e3386c207e83438b5a..97dccbf45dfcf8f3ed056621aa43350f73ff2356 100644
GIT binary patch
delta 428
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delta 287
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delta 323
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diff --git a/v2.0.2/.doctrees/api/smac.runhistory.encoder.log_encoder.doctree b/v2.0.2/.doctrees/api/smac.runhistory.encoder.log_encoder.doctree
index 81b56afbaebd42fa339832fd285af6fcf4ec0e24..f7cc615f7401c173e64d9a6cddd9204dbb8590e8 100644
GIT binary patch
delta 417
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diff --git a/v2.0.2/.doctrees/api/smac.runhistory.encoder.log_scaled_encoder.doctree b/v2.0.2/.doctrees/api/smac.runhistory.encoder.log_scaled_encoder.doctree
index aa62eda7f7a53841a3e35230bf4ab051d85d0f9e..b299b0b889108df27512a3bb9b58673abf5a8892 100644
GIT binary patch
delta 378
zcmaEu`y`LGfpu!6`9@Y_P5rDBj0_B#jZb!F`YaXC^_i<6=J
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delta 326
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diff --git a/v2.0.2/.doctrees/api/smac.runhistory.encoder.scaled_encoder.doctree b/v2.0.2/.doctrees/api/smac.runhistory.encoder.scaled_encoder.doctree
index 1ec49895146ad8e7d56ad5cadd37d092f039365f..31e9a066905f9d23c1ac6ada38e54e46fa319826 100644
GIT binary patch
delta 408
zcmX?|eJ+Q!fpx00*+y1f4gIVWj0_B#jZ&n^*
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delta 283
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diff --git a/v2.0.2/.doctrees/api/smac.runhistory.encoder.sqrt_scaled_encoder.doctree b/v2.0.2/.doctrees/api/smac.runhistory.encoder.sqrt_scaled_encoder.doctree
index 02a060b689e6b7a75de0640c9569ea37814f281d..13dadcec6515cf068320d4a9978ac1530d8b3351 100644
GIT binary patch
delta 396
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diff --git a/v2.0.2/.doctrees/api/smac.runner.abstract_runner.doctree b/v2.0.2/.doctrees/api/smac.runner.abstract_runner.doctree
index f9a97b00f2e59ffb2e80126816e94d12b986c328..420583b3036cd50fa908ebee853cd41e76768586 100644
GIT binary patch
delta 7847
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diff --git a/v2.0.2/.doctrees/api/smac.runner.abstract_serial_runner.doctree b/v2.0.2/.doctrees/api/smac.runner.abstract_serial_runner.doctree
index 2e51838e5bbc3aaaefcffbbdd7f6b56f4312ba57..c1f748ae5f92d0fefbac54e01bd57e11c0c4a7af 100644
GIT binary patch
delta 3033
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delta 2748
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delta 6636
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diff --git a/v2.0.2/.doctrees/api/smac.runner.target_function_runner.doctree b/v2.0.2/.doctrees/api/smac.runner.target_function_runner.doctree
index e52c716d3351e61af13ee262269ccd37db09a0d1..5be232a13d2afea87f40628cdb6246371690eaaf 100644
GIT binary patch
delta 5695
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diff --git a/v2.0.2/.doctrees/api/smac.runner.target_function_script_runner.doctree b/v2.0.2/.doctrees/api/smac.runner.target_function_script_runner.doctree
index d53c3a0db0b96853a160f2cbf4d88f1d3573213e..b9f0a426525f0aa2d9d170af8a82edb6c98b6d4f 100644
GIT binary patch
delta 4098
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diff --git a/v2.0.2/.doctrees/api/smac.scenario.doctree b/v2.0.2/.doctrees/api/smac.scenario.doctree
index 71b59fb9612dafb6ff30eb384605d1df0f7c25e8..7e9b01645b74e1df2213b1ddc6e36b00a1e0696b 100644
GIT binary patch
delta 3516
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diff --git a/v2.0.2/.doctrees/api/smac.utils.configspace.doctree b/v2.0.2/.doctrees/api/smac.utils.configspace.doctree
index 840db172ff77b6dca53f284dfcb4a775af901009..65c5aa2ea42e45e3ecb391388dbeebdca5a08b6d 100644
GIT binary patch
delta 2942
zcmb7GU2IfE6uvXtdv_OFTWl$9x7+Tvma>-q34$&~3MoG=utKq=wD+dFZMWQB=?~rA
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delta 2428
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diff --git a/v2.0.2/.doctrees/api/smac.utils.data_structures.doctree b/v2.0.2/.doctrees/api/smac.utils.data_structures.doctree
index 1e3c009d8fd7bc3085914451ffd7658426bdfab9..0104e136b9291374f7169461af1202247a4229dc 100644
GIT binary patch
delta 2357
zcma)8ZETZO6z;iiTQ)n!M`g0L9o@RpcKxQ^24!Pg0-1AWjF1osn`7&`y?bHZpj`qI
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delta 2241
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diff --git a/v2.0.2/.doctrees/examples/1_basics/1_quadratic_function.doctree b/v2.0.2/.doctrees/examples/1_basics/1_quadratic_function.doctree
index abd140b79938e0bb5b30547f841eabc48e9d74fd..16c90d7107e5381e826bdff965e0d93571533908 100644
GIT binary patch
delta 204
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delta 1308
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diff --git a/v2.0.2/.doctrees/examples/1_basics/4_callback.doctree b/v2.0.2/.doctrees/examples/1_basics/4_callback.doctree
index a2fe5a929f923daa4de9c2ab1a90debc5c643460..d54e31bd374892a97c7bcac12561b5a17b33d951 100644
GIT binary patch
delta 200
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delta 169
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delta 188
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diff --git a/v2.0.2/.doctrees/examples/1_basics/6_priors.doctree b/v2.0.2/.doctrees/examples/1_basics/6_priors.doctree
index ba1f1d98ce83b95ee2c5d0387836449c72132d91..2b3624d03f9b9113a1af4480ebe33fa83cee27c9 100644
GIT binary patch
delta 384
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diff --git a/v2.0.2/.doctrees/examples/1_basics/sg_execution_times.doctree b/v2.0.2/.doctrees/examples/1_basics/sg_execution_times.doctree
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GIT binary patch
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diff --git a/v2.0.2/.doctrees/examples/2_multi_fidelity/1_mlp_epochs.doctree b/v2.0.2/.doctrees/examples/2_multi_fidelity/1_mlp_epochs.doctree
index ebb638a76bb74f6c97ade774a456262db288ed74..eaa2a16a3084c287760d449b21c4609abec45970 100644
GIT binary patch
delta 511
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delta 489
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diff --git a/v2.0.2/.doctrees/examples/2_multi_fidelity/2_sgd_datasets.doctree b/v2.0.2/.doctrees/examples/2_multi_fidelity/2_sgd_datasets.doctree
index 9a4b1882add54df049f0f4973647297e4ea667fe..cdaaa5ecc778f083736cfd69e02aee5ae98d439c 100644
GIT binary patch
delta 407
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diff --git a/v2.0.2/.doctrees/examples/2_multi_fidelity/sg_execution_times.doctree b/v2.0.2/.doctrees/examples/2_multi_fidelity/sg_execution_times.doctree
index 408d82555ae0e49504ddd244a8b640bbf42bac82..9e4775bede4ae4a9144d4807c3dedf24b85ffc5e 100644
GIT binary patch
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delta 1052
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diff --git a/v2.0.2/.doctrees/examples/3_multi_objective/1_schaffer.doctree b/v2.0.2/.doctrees/examples/3_multi_objective/1_schaffer.doctree
index 6804dd4ff3d01aa20e37cfb51bbcfb7b8e3d5a5e..18fa119e034c48ab64c52920b47dfa67d5f477b9 100644
GIT binary patch
delta 1959
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diff --git a/v2.0.2/.doctrees/examples/3_multi_objective/2_parego.doctree b/v2.0.2/.doctrees/examples/3_multi_objective/2_parego.doctree
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delta 1105
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diff --git a/v2.0.2/.doctrees/examples/5_commandline/1_call_target_function_script.doctree b/v2.0.2/.doctrees/examples/5_commandline/1_call_target_function_script.doctree
index 9e21c3d3414ed62d33a869818000ef096505f8cf..ce758c9ff7fb7d5f9c2172f4d2317089dd0a9782 100644
GIT binary patch
delta 209
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diff --git a/v2.0.2/_modules/smac/model/random_forest/random_forest.html b/v2.0.2/_modules/smac/model/random_forest/random_forest.html
index 766da0ba76..0bba9dc2ca 100644
--- a/v2.0.2/_modules/smac/model/random_forest/random_forest.html
+++ b/v2.0.2/_modules/smac/model/random_forest/random_forest.html
@@ -1094,7 +1094,9 @@ 
Source code for smac.model.random_forest.random_forest
self._rf_opts.compute_law_of_total_variance = False
         self._rf: BinaryForest | None = None
         self._log_y = log_y
-        self._rng = regression.default_random_engine(seed)
+
+        # Case to `int` incase we get an `np.integer` type
+        self._rng = regression.default_random_engine(int(seed))
 
         self._n_trees = n_trees
         self._n_points_per_tree = n_points_per_tree
diff --git a/v2.0.2/_sources/examples/1_basics/1_quadratic_function.rst.txt b/v2.0.2/_sources/examples/1_basics/1_quadratic_function.rst.txt
index c5b32dd0ec..f5f37c3a22 100644
--- a/v2.0.2/_sources/examples/1_basics/1_quadratic_function.rst.txt
+++ b/v2.0.2/_sources/examples/1_basics/1_quadratic_function.rst.txt
@@ -75,7 +75,7 @@ be applied to problems with large evaluation budgets (up to 1000 evaluations).
 
 |
 
-.. code-block:: default
+.. code-block:: Python
 
 
     import numpy as np
@@ -154,7 +154,7 @@ be applied to problems with large evaluation budgets (up to 1000 evaluations).
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 2.986 seconds)
+   **Total running time of the script:** (0 minutes 2.398 seconds)
 
 
 .. _sphx_glr_download_examples_1_basics_1_quadratic_function.py:
@@ -163,7 +163,6 @@ be applied to problems with large evaluation budgets (up to 1000 evaluations).
 
   .. container:: sphx-glr-footer sphx-glr-footer-example
 
-
     .. container:: binder-badge
 
       .. image:: images/binder_badge_logo.svg
@@ -171,12 +170,10 @@ be applied to problems with large evaluation budgets (up to 1000 evaluations).
         :alt: Launch binder
         :width: 150 px
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: 1_quadratic_function.ipynb <1_quadratic_function.ipynb>`
 
     .. container:: sphx-glr-download sphx-glr-download-python
 
       :download:`Download Python source code: 1_quadratic_function.py <1_quadratic_function.py>`
-
-    .. container:: sphx-glr-download sphx-glr-download-jupyter
-
-      :download:`Download Jupyter notebook: 1_quadratic_function.ipynb <1_quadratic_function.ipynb>`
diff --git a/v2.0.2/_sources/examples/1_basics/2_svm_cv.rst.txt b/v2.0.2/_sources/examples/1_basics/2_svm_cv.rst.txt
index bdb3dc7ba8..a4370b4a2f 100644
--- a/v2.0.2/_sources/examples/1_basics/2_svm_cv.rst.txt
+++ b/v2.0.2/_sources/examples/1_basics/2_svm_cv.rst.txt
@@ -321,83 +321,83 @@ types as well as conditional hyperparameters.
 
     /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/numpy/lib/function_base.py:4655: RuntimeWarning: invalid value encountered in subtract
       diff_b_a = subtract(b, a)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
     /home/runner/work/SMAC3/SMAC3/examples/1_basics/2_svm_cv.py:57: DeprecationWarning: `Configuration` act's like a dictionary. Please use `dict(config)` instead of `get_dictionary` if you explicitly need a `dict`
       config_dict = config.get_dictionary()
@@ -883,105 +883,105 @@ types as well as conditional hyperparameters.
 
     /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/numpy/lib/function_base.py:4655: RuntimeWarning: invalid value encountered in subtract
       diff_b_a = subtract(b, a)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+    /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
       preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
     /home/runner/work/SMAC3/SMAC3/examples/1_basics/2_svm_cv.py:57: DeprecationWarning: `Configuration` act's like a dictionary. Please use `dict(config)` instead of `get_dictionary` if you explicitly need a `dict`
       config_dict = config.get_dictionary()
@@ -1240,7 +1240,7 @@ types as well as conditional hyperparameters.
 
 |
 
-.. code-block:: default
+.. code-block:: Python
 
 
     import numpy as np
@@ -1335,7 +1335,7 @@ types as well as conditional hyperparameters.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 1.017 seconds)
+   **Total running time of the script:** (0 minutes 0.788 seconds)
 
 
 .. _sphx_glr_download_examples_1_basics_2_svm_cv.py:
@@ -1344,7 +1344,6 @@ types as well as conditional hyperparameters.
 
   .. container:: sphx-glr-footer sphx-glr-footer-example
 
-
     .. container:: binder-badge
 
       .. image:: images/binder_badge_logo.svg
@@ -1352,12 +1351,10 @@ types as well as conditional hyperparameters.
         :alt: Launch binder
         :width: 150 px
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: 2_svm_cv.ipynb <2_svm_cv.ipynb>`
 
     .. container:: sphx-glr-download sphx-glr-download-python
 
       :download:`Download Python source code: 2_svm_cv.py <2_svm_cv.py>`
-
-    .. container:: sphx-glr-download sphx-glr-download-jupyter
-
-      :download:`Download Jupyter notebook: 2_svm_cv.ipynb <2_svm_cv.ipynb>`
diff --git a/v2.0.2/_sources/examples/1_basics/3_ask_and_tell.rst.txt b/v2.0.2/_sources/examples/1_basics/3_ask_and_tell.rst.txt
index e0e54c4498..68391e54a9 100644
--- a/v2.0.2/_sources/examples/1_basics/3_ask_and_tell.rst.txt
+++ b/v2.0.2/_sources/examples/1_basics/3_ask_and_tell.rst.txt
@@ -36,21 +36,19 @@ This examples show how to use the Ask-and-Tell interface.
     [INFO][abstract_intensifier.py:515] Added config 38310a as new incumbent because there are no incumbents yet.
     [INFO][abstract_intensifier.py:594] Added config a840bc and rejected config 38310a as incumbent because it is not better than the incumbents on 1 instances:
     [INFO][abstract_intensifier.py:594] Added config e8ddec and rejected config a840bc as incumbent because it is not better than the incumbents on 1 instances:
-    [INFO][abstract_intensifier.py:594] Added config a9b60d and rejected config e8ddec as incumbent because it is not better than the incumbents on 1 instances:
-    [INFO][abstract_intensifier.py:594] Added config 96f88f and rejected config a9b60d as incumbent because it is not better than the incumbents on 1 instances:
-    [INFO][abstract_intensifier.py:594] Added config 0d4e03 and rejected config 96f88f as incumbent because it is not better than the incumbents on 1 instances:
+    [INFO][abstract_intensifier.py:594] Added config e74ba7 and rejected config e8ddec as incumbent because it is not better than the incumbents on 1 instances:
     [INFO][smbo.py:319] Finished 50 trials.
-    [INFO][abstract_intensifier.py:594] Added config 737ab9 and rejected config 0d4e03 as incumbent because it is not better than the incumbents on 1 instances:
-    [INFO][abstract_intensifier.py:594] Added config eeebb9 and rejected config 737ab9 as incumbent because it is not better than the incumbents on 1 instances:
-    [INFO][abstract_intensifier.py:594] Added config 6d9074 and rejected config eeebb9 as incumbent because it is not better than the incumbents on 1 instances:
-    [INFO][abstract_intensifier.py:594] Added config a0e706 and rejected config 6d9074 as incumbent because it is not better than the incumbents on 1 instances:
+    [INFO][abstract_intensifier.py:594] Added config 1eebbc and rejected config e74ba7 as incumbent because it is not better than the incumbents on 1 instances:
+    [INFO][abstract_intensifier.py:594] Added config f01c34 and rejected config 1eebbc as incumbent because it is not better than the incumbents on 1 instances:
+    [INFO][abstract_intensifier.py:594] Added config 1df946 and rejected config f01c34 as incumbent because it is not better than the incumbents on 1 instances:
+    [INFO][abstract_intensifier.py:594] Added config 535c5d and rejected config 1df946 as incumbent because it is not better than the incumbents on 1 instances:
     [INFO][smbo.py:319] Finished 100 trials.
     [INFO][smbo.py:327] Configuration budget is exhausted:
     [INFO][smbo.py:328] --- Remaining wallclock time: inf
     [INFO][smbo.py:329] --- Remaining cpu time: inf
     [INFO][smbo.py:330] --- Remaining trials: 0
     Default cost: 16916.0
-    Incumbent cost: 0.8499771879028607
+    Incumbent cost: 1.1183978687059386
 
 
 
@@ -59,7 +57,7 @@ This examples show how to use the Ask-and-Tell interface.
 
 |
 
-.. code-block:: default
+.. code-block:: Python
 
 
     from ConfigSpace import Configuration, ConfigurationSpace, Float
@@ -140,7 +138,7 @@ This examples show how to use the Ask-and-Tell interface.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 3.533 seconds)
+   **Total running time of the script:** (0 minutes 2.636 seconds)
 
 
 .. _sphx_glr_download_examples_1_basics_3_ask_and_tell.py:
@@ -149,7 +147,6 @@ This examples show how to use the Ask-and-Tell interface.
 
   .. container:: sphx-glr-footer sphx-glr-footer-example
 
-
     .. container:: binder-badge
 
       .. image:: images/binder_badge_logo.svg
@@ -157,12 +154,10 @@ This examples show how to use the Ask-and-Tell interface.
         :alt: Launch binder
         :width: 150 px
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: 3_ask_and_tell.ipynb <3_ask_and_tell.ipynb>`
 
     .. container:: sphx-glr-download sphx-glr-download-python
 
       :download:`Download Python source code: 3_ask_and_tell.py <3_ask_and_tell.py>`
-
-    .. container:: sphx-glr-download sphx-glr-download-jupyter
-
-      :download:`Download Jupyter notebook: 3_ask_and_tell.ipynb <3_ask_and_tell.ipynb>`
diff --git a/v2.0.2/_sources/examples/1_basics/4_callback.rst.txt b/v2.0.2/_sources/examples/1_basics/4_callback.rst.txt
index 060c59c01a..c8bbf6fe32 100644
--- a/v2.0.2/_sources/examples/1_basics/4_callback.rst.txt
+++ b/v2.0.2/_sources/examples/1_basics/4_callback.rst.txt
@@ -67,7 +67,7 @@ Furthermore, we print some stages of the optimization process.
 
 |
 
-.. code-block:: default
+.. code-block:: Python
 
 
     from __future__ import annotations
@@ -146,7 +146,7 @@ Furthermore, we print some stages of the optimization process.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 0.180 seconds)
+   **Total running time of the script:** (0 minutes 0.147 seconds)
 
 
 .. _sphx_glr_download_examples_1_basics_4_callback.py:
@@ -155,7 +155,6 @@ Furthermore, we print some stages of the optimization process.
 
   .. container:: sphx-glr-footer sphx-glr-footer-example
 
-
     .. container:: binder-badge
 
       .. image:: images/binder_badge_logo.svg
@@ -163,12 +162,10 @@ Furthermore, we print some stages of the optimization process.
         :alt: Launch binder
         :width: 150 px
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: 4_callback.ipynb <4_callback.ipynb>`
 
     .. container:: sphx-glr-download sphx-glr-download-python
 
       :download:`Download Python source code: 4_callback.py <4_callback.py>`
-
-    .. container:: sphx-glr-download sphx-glr-download-jupyter
-
-      :download:`Download Jupyter notebook: 4_callback.ipynb <4_callback.ipynb>`
diff --git a/v2.0.2/_sources/examples/1_basics/5_continue.rst.txt b/v2.0.2/_sources/examples/1_basics/5_continue.rst.txt
index ca6f394e89..22e4b62022 100644
--- a/v2.0.2/_sources/examples/1_basics/5_continue.rst.txt
+++ b/v2.0.2/_sources/examples/1_basics/5_continue.rst.txt
@@ -79,7 +79,7 @@ there already is a previous run with the same meta data, this run will be contin
 
 |
 
-.. code-block:: default
+.. code-block:: Python
 
 
     from __future__ import annotations
@@ -170,7 +170,7 @@ there already is a previous run with the same meta data, this run will be contin
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 0.982 seconds)
+   **Total running time of the script:** (0 minutes 0.814 seconds)
 
 
 .. _sphx_glr_download_examples_1_basics_5_continue.py:
@@ -179,7 +179,6 @@ there already is a previous run with the same meta data, this run will be contin
 
   .. container:: sphx-glr-footer sphx-glr-footer-example
 
-
     .. container:: binder-badge
 
       .. image:: images/binder_badge_logo.svg
@@ -187,12 +186,10 @@ there already is a previous run with the same meta data, this run will be contin
         :alt: Launch binder
         :width: 150 px
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: 5_continue.ipynb <5_continue.ipynb>`
 
     .. container:: sphx-glr-download sphx-glr-download-python
 
       :download:`Download Python source code: 5_continue.py <5_continue.py>`
-
-    .. container:: sphx-glr-download sphx-glr-download-jupyter
-
-      :download:`Download Jupyter notebook: 5_continue.ipynb <5_continue.ipynb>`
diff --git a/v2.0.2/_sources/examples/1_basics/6_priors.rst.txt b/v2.0.2/_sources/examples/1_basics/6_priors.rst.txt
index 58268de170..cc8d2f416d 100644
--- a/v2.0.2/_sources/examples/1_basics/6_priors.rst.txt
+++ b/v2.0.2/_sources/examples/1_basics/6_priors.rst.txt
@@ -42,15 +42,15 @@ optimization, you have to change the acquisition function to ``PriorAcquisitionF
     [WARNING][prior_acqusition_function.py:107] Discretizing the prior for random forest models.
     [INFO][abstract_intensifier.py:515] Added config 7ec7fe as new incumbent because there are no incumbents yet.
     [INFO][abstract_intensifier.py:594] Added config 6acb23 and rejected config 7ec7fe as incumbent because it is not better than the incumbents on 1 instances:
-    [INFO][abstract_intensifier.py:594] Added config 95309e and rejected config 6acb23 as incumbent because it is not better than the incumbents on 1 instances:
-    [INFO][abstract_intensifier.py:594] Added config 87ba17 and rejected config 95309e as incumbent because it is not better than the incumbents on 1 instances:
-    [INFO][abstract_intensifier.py:594] Added config a3d1bd and rejected config 87ba17 as incumbent because it is not better than the incumbents on 1 instances:
+    [INFO][abstract_intensifier.py:594] Added config 37a8e7 and rejected config 6acb23 as incumbent because it is not better than the incumbents on 1 instances:
+    [INFO][abstract_intensifier.py:594] Added config 5b96ec and rejected config 37a8e7 as incumbent because it is not better than the incumbents on 1 instances:
+    [INFO][abstract_intensifier.py:594] Added config 35cf09 and rejected config 5b96ec as incumbent because it is not better than the incumbents on 1 instances:
     [INFO][smbo.py:327] Configuration budget is exhausted:
     [INFO][smbo.py:328] --- Remaining wallclock time: inf
     [INFO][smbo.py:329] --- Remaining cpu time: inf
     [INFO][smbo.py:330] --- Remaining trials: 0
     Default cost: 0.038952336737852145
-    Default cost: 0.026719281956050667
+    Default cost: 0.02727174249458364
 
 
 
@@ -59,7 +59,7 @@ optimization, you have to change the acquisition function to ``PriorAcquisitionF
 
 |
 
-.. code-block:: default
+.. code-block:: Python
 
 
     import warnings
@@ -225,7 +225,7 @@ optimization, you have to change the acquisition function to ``PriorAcquisitionF
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 29.828 seconds)
+   **Total running time of the script:** (0 minutes 24.000 seconds)
 
 
 .. _sphx_glr_download_examples_1_basics_6_priors.py:
@@ -234,7 +234,6 @@ optimization, you have to change the acquisition function to ``PriorAcquisitionF
 
   .. container:: sphx-glr-footer sphx-glr-footer-example
 
-
     .. container:: binder-badge
 
       .. image:: images/binder_badge_logo.svg
@@ -242,12 +241,10 @@ optimization, you have to change the acquisition function to ``PriorAcquisitionF
         :alt: Launch binder
         :width: 150 px
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: 6_priors.ipynb <6_priors.ipynb>`
 
     .. container:: sphx-glr-download sphx-glr-download-python
 
       :download:`Download Python source code: 6_priors.py <6_priors.py>`
-
-    .. container:: sphx-glr-download sphx-glr-download-jupyter
-
-      :download:`Download Jupyter notebook: 6_priors.ipynb <6_priors.ipynb>`
diff --git a/v2.0.2/_sources/examples/1_basics/sg_execution_times.rst.txt b/v2.0.2/_sources/examples/1_basics/sg_execution_times.rst.txt
index f9be974693..000faf8043 100644
--- a/v2.0.2/_sources/examples/1_basics/sg_execution_times.rst.txt
+++ b/v2.0.2/_sources/examples/1_basics/sg_execution_times.rst.txt
@@ -6,18 +6,47 @@
 
 Computation times
 =================
-**00:38.526** total execution time for **examples_1_basics** files:
-
-+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_1_basics_6_priors.py` (``6_priors.py``)                         | 00:29.828 | 0.0 MB |
-+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_1_basics_3_ask_and_tell.py` (``3_ask_and_tell.py``)             | 00:03.533 | 0.0 MB |
-+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_1_basics_1_quadratic_function.py` (``1_quadratic_function.py``) | 00:02.986 | 0.0 MB |
-+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_1_basics_2_svm_cv.py` (``2_svm_cv.py``)                         | 00:01.017 | 0.0 MB |
-+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_1_basics_5_continue.py` (``5_continue.py``)                     | 00:00.982 | 0.0 MB |
-+-----------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_1_basics_4_callback.py` (``4_callback.py``)                     | 00:00.180 | 0.0 MB |
-+-----------------------------------------------------------------------------------------+-----------+--------+
+**00:30.783** total execution time for 6 files **from examples/1_basics**:
+
+.. container::
+
+  .. raw:: html
+
+    
+    
+    
+    
+    
+
+  .. list-table::
+   :header-rows: 1
+   :class: table table-striped sg-datatable
+
+   * - Example
+     - Time
+     - Mem (MB)
+   * - :ref:`sphx_glr_examples_1_basics_6_priors.py` (``6_priors.py``)
+     - 00:24.000
+     - 0.0
+   * - :ref:`sphx_glr_examples_1_basics_3_ask_and_tell.py` (``3_ask_and_tell.py``)
+     - 00:02.636
+     - 0.0
+   * - :ref:`sphx_glr_examples_1_basics_1_quadratic_function.py` (``1_quadratic_function.py``)
+     - 00:02.398
+     - 0.0
+   * - :ref:`sphx_glr_examples_1_basics_5_continue.py` (``5_continue.py``)
+     - 00:00.814
+     - 0.0
+   * - :ref:`sphx_glr_examples_1_basics_2_svm_cv.py` (``2_svm_cv.py``)
+     - 00:00.788
+     - 0.0
+   * - :ref:`sphx_glr_examples_1_basics_4_callback.py` (``4_callback.py``)
+     - 00:00.147
+     - 0.0
diff --git a/v2.0.2/_sources/examples/2_multi_fidelity/1_mlp_epochs.rst.txt b/v2.0.2/_sources/examples/2_multi_fidelity/1_mlp_epochs.rst.txt
index 8562f2dde2..b95ec22683 100644
--- a/v2.0.2/_sources/examples/2_multi_fidelity/1_mlp_epochs.rst.txt
+++ b/v2.0.2/_sources/examples/2_multi_fidelity/1_mlp_epochs.rst.txt
@@ -67,22 +67,21 @@ is chosen to optimize the average accuracy on 5-fold cross validation.
     [INFO][smbo.py:319] Finished 0 trials.
     [INFO][smbo.py:319] Finished 0 trials.
     [INFO][smbo.py:319] Finished 50 trials.
-    [INFO][smbo.py:319] Finished 50 trials.
     [INFO][abstract_intensifier.py:515] Added config 72f7f7 as new incumbent because there are no incumbents yet.
     [INFO][abstract_intensifier.py:594] Added config 9d67d8 and rejected config 72f7f7 as incumbent because it is not better than the incumbents on 1 instances:
-    [INFO][smbo.py:319] Finished 100 trials.
-    [INFO][abstract_intensifier.py:594] Added config 9cf2fd and rejected config 9d67d8 as incumbent because it is not better than the incumbents on 1 instances:
+    [INFO][abstract_intensifier.py:594] Added config 67ee32 and rejected config 9d67d8 as incumbent because it is not better than the incumbents on 1 instances:
+    [INFO][smbo.py:319] Finished 150 trials.
     [INFO][smbo.py:327] Configuration budget is exhausted:
-    [INFO][smbo.py:328] --- Remaining wallclock time: -0.018138885498046875
+    [INFO][smbo.py:328] --- Remaining wallclock time: -0.1092691421508789
     [INFO][smbo.py:329] --- Remaining cpu time: inf
-    [INFO][smbo.py:330] --- Remaining trials: 386
+    [INFO][smbo.py:330] --- Remaining trials: 319
     Default cost (SuccessiveHalving): 0.36672856700711853
     Incumbent cost (SuccessiveHalving): 0.017254719900959392
     [INFO][abstract_initial_design.py:82] Using `n_configs` and ignoring `n_configs_per_hyperparameter`.
     [INFO][abstract_facade.py:200] Workers are reduced to 8.
     /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/distributed/node.py:182: UserWarning: Port 8787 is already in use.
     Perhaps you already have a cluster running?
-    Hosting the HTTP server on port 44837 instead
+    Hosting the HTTP server on port 40831 instead
       warnings.warn(
     [INFO][abstract_initial_design.py:147] Using 5 initial design configurations and 0 additional configurations.
     [INFO][successive_halving.py:164] Successive Halving uses budget type BUDGETS with eta 3, min budget 1, and max budget 25.
@@ -106,9 +105,9 @@ is chosen to optimize the average accuracy on 5-fold cross validation.
     [INFO][abstract_intensifier.py:594] Added config efc781 and rejected config ceb3eb as incumbent because it is not better than the incumbents on 1 instances:
     [INFO][abstract_intensifier.py:594] Added config 9d67d8 and rejected config efc781 as incumbent because it is not better than the incumbents on 1 instances:
     [INFO][smbo.py:327] Configuration budget is exhausted:
-    [INFO][smbo.py:328] --- Remaining wallclock time: -1.565629482269287
+    [INFO][smbo.py:328] --- Remaining wallclock time: -0.7150156497955322
     [INFO][smbo.py:329] --- Remaining cpu time: inf
-    [INFO][smbo.py:330] --- Remaining trials: 417
+    [INFO][smbo.py:330] --- Remaining trials: 393
     Default cost (Hyperband): 0.36672856700711853
     Incumbent cost (Hyperband): 0.0178087279480037
 
@@ -119,7 +118,7 @@ is chosen to optimize the average accuracy on 5-fold cross validation.
 
 |
 
-.. code-block:: default
+.. code-block:: Python
 
 
     import warnings
@@ -289,7 +288,7 @@ is chosen to optimize the average accuracy on 5-fold cross validation.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (2 minutes 35.449 seconds)
+   **Total running time of the script:** (2 minutes 28.424 seconds)
 
 
 .. _sphx_glr_download_examples_2_multi_fidelity_1_mlp_epochs.py:
@@ -298,7 +297,6 @@ is chosen to optimize the average accuracy on 5-fold cross validation.
 
   .. container:: sphx-glr-footer sphx-glr-footer-example
 
-
     .. container:: binder-badge
 
       .. image:: images/binder_badge_logo.svg
@@ -306,12 +304,10 @@ is chosen to optimize the average accuracy on 5-fold cross validation.
         :alt: Launch binder
         :width: 150 px
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: 1_mlp_epochs.ipynb <1_mlp_epochs.ipynb>`
 
     .. container:: sphx-glr-download sphx-glr-download-python
 
       :download:`Download Python source code: 1_mlp_epochs.py <1_mlp_epochs.py>`
-
-    .. container:: sphx-glr-download sphx-glr-download-jupyter
-
-      :download:`Download Jupyter notebook: 1_mlp_epochs.ipynb <1_mlp_epochs.ipynb>`
diff --git a/v2.0.2/_sources/examples/2_multi_fidelity/2_sgd_datasets.rst.txt b/v2.0.2/_sources/examples/2_multi_fidelity/2_sgd_datasets.rst.txt
index 01c1588c83..3f994d80c5 100644
--- a/v2.0.2/_sources/examples/2_multi_fidelity/2_sgd_datasets.rst.txt
+++ b/v2.0.2/_sources/examples/2_multi_fidelity/2_sgd_datasets.rst.txt
@@ -63,12 +63,15 @@ the target function now is required to have an instance argument.
     [INFO][smbo.py:319] Finished 200 trials.
     [INFO][smbo.py:319] Finished 250 trials.
     [INFO][smbo.py:319] Finished 300 trials.
+    [INFO][smbo.py:319] Finished 350 trials.
+    [INFO][abstract_intensifier.py:594] Added config 3c910e and rejected config 884840 as incumbent because it is not better than the incumbents on 45 instances:
+    [INFO][smbo.py:319] Finished 400 trials.
     [INFO][smbo.py:327] Configuration budget is exhausted:
-    [INFO][smbo.py:328] --- Remaining wallclock time: -0.05354905128479004
+    [INFO][smbo.py:328] --- Remaining wallclock time: -0.015347719192504883
     [INFO][smbo.py:329] --- Remaining cpu time: inf
-    [INFO][smbo.py:330] --- Remaining trials: 4664
+    [INFO][smbo.py:330] --- Remaining trials: 4561
     Default cost: 0.15489347419148672
-    Incumbent cost: 0.006249006102246613
+    Incumbent cost: 0.005937605060508486
 
 
 
@@ -77,7 +80,7 @@ the target function now is required to have an instance argument.
 
 |
 
-.. code-block:: default
+.. code-block:: Python
 
 
     from __future__ import annotations
@@ -208,7 +211,7 @@ the target function now is required to have an instance argument.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 38.110 seconds)
+   **Total running time of the script:** (0 minutes 35.078 seconds)
 
 
 .. _sphx_glr_download_examples_2_multi_fidelity_2_sgd_datasets.py:
@@ -217,7 +220,6 @@ the target function now is required to have an instance argument.
 
   .. container:: sphx-glr-footer sphx-glr-footer-example
 
-
     .. container:: binder-badge
 
       .. image:: images/binder_badge_logo.svg
@@ -225,12 +227,10 @@ the target function now is required to have an instance argument.
         :alt: Launch binder
         :width: 150 px
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: 2_sgd_datasets.ipynb <2_sgd_datasets.ipynb>`
 
     .. container:: sphx-glr-download sphx-glr-download-python
 
       :download:`Download Python source code: 2_sgd_datasets.py <2_sgd_datasets.py>`
-
-    .. container:: sphx-glr-download sphx-glr-download-jupyter
-
-      :download:`Download Jupyter notebook: 2_sgd_datasets.ipynb <2_sgd_datasets.ipynb>`
diff --git a/v2.0.2/_sources/examples/2_multi_fidelity/sg_execution_times.rst.txt b/v2.0.2/_sources/examples/2_multi_fidelity/sg_execution_times.rst.txt
index c8635ae64e..586ba69043 100644
--- a/v2.0.2/_sources/examples/2_multi_fidelity/sg_execution_times.rst.txt
+++ b/v2.0.2/_sources/examples/2_multi_fidelity/sg_execution_times.rst.txt
@@ -6,10 +6,35 @@
 
 Computation times
 =================
-**03:13.559** total execution time for **examples_2_multi_fidelity** files:
+**03:03.502** total execution time for 2 files **from examples/2_multi_fidelity**:
 
-+-------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_2_multi_fidelity_1_mlp_epochs.py` (``1_mlp_epochs.py``)     | 02:35.449 | 0.0 MB |
-+-------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_2_multi_fidelity_2_sgd_datasets.py` (``2_sgd_datasets.py``) | 00:38.110 | 0.0 MB |
-+-------------------------------------------------------------------------------------+-----------+--------+
+.. container::
+
+  .. raw:: html
+
+    
+    
+    
+    
+    
+
+  .. list-table::
+   :header-rows: 1
+   :class: table table-striped sg-datatable
+
+   * - Example
+     - Time
+     - Mem (MB)
+   * - :ref:`sphx_glr_examples_2_multi_fidelity_1_mlp_epochs.py` (``1_mlp_epochs.py``)
+     - 02:28.424
+     - 0.0
+   * - :ref:`sphx_glr_examples_2_multi_fidelity_2_sgd_datasets.py` (``2_sgd_datasets.py``)
+     - 00:35.078
+     - 0.0
diff --git a/v2.0.2/_sources/examples/3_multi_objective/1_schaffer.rst.txt b/v2.0.2/_sources/examples/3_multi_objective/1_schaffer.rst.txt
index 91b13aeca5..af4a1e402d 100644
--- a/v2.0.2/_sources/examples/3_multi_objective/1_schaffer.rst.txt
+++ b/v2.0.2/_sources/examples/3_multi_objective/1_schaffer.rst.txt
@@ -180,158 +180,158 @@ SMAC prioritizes the second objective over the first one.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
     [INFO][abstract_intensifier.py:602] Config 00947e is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 7e03ee is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 623aaa is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
     [INFO][abstract_intensifier.py:602] Config e7652a is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 5f1f68 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config c17b3b is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
     [INFO][abstract_intensifier.py:602] Config c9a4ab is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 26907e is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config c78bba is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
     [INFO][abstract_intensifier.py:602] Config f523f5 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 940870 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config d5d9b3 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config f21a6e is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 050956 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
     [INFO][abstract_intensifier.py:602] Config 04cf46 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config e3e1fc is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config cd933e is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
+    [INFO][abstract_intensifier.py:602] Config 6a4a47 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
     [INFO][abstract_intensifier.py:602] Config 7cab7f is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 4abdbb is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config a882a8 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 65680c is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config cfe943 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 257ec9 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 161437 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 0ffa3c is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config eb7876 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 3e7b8c is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 257ec9 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config b61ca9 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 0038ea is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 1e70ce is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config b779c7 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
     [INFO][abstract_intensifier.py:602] Config 9621a8 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
     [INFO][abstract_intensifier.py:602] Config 26d5a4 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config aa878c is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config fff544 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config c40c4c is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config ea6007 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config a88778 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 850574 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 6e1528 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 405f05 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 0e4ddc is a new incumbent. Total number of incumbents: 11.
-    [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 8ae00c is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 016225 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
     [INFO][smbo.py:319] Finished 100 trials.
-    [INFO][abstract_intensifier.py:602] Config 2fb8e3 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config c6f7e7 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 313866 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config b62dbe is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 9a849e is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 5b4ebd is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config bf6ee6 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config dff21b is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 1c3721 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config c13f17 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config d6acb8 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config ef6d00 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 2e23af is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 4051b5 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config d2a8ac is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 03d947 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 49eabf is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config d2a8ac is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 17755d is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 4ee072 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
     [INFO][abstract_intensifier.py:602] Config e4515e is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 3c0836 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config a241bb is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 657da4 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config c2b5f5 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 75e08e is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 2b4703 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 9ec620 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 1d3f71 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 1b701e is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 09c690 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 38990f is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 980177 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 9adac9 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 18b4fb is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 9b50d4 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 5889c8 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config eb89b7 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 38990f is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 299174 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config af00a5 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 2ff038 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 6ea6dc is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 4d31e6 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config caf420 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config c00b70 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config be6467 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 04b3b4 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config a2cbcd is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 4c851f is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config f3c58a is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 1d8cc2 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 31cac4 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 74b413 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 04b3b4 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config ce98d7 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 62390f is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 6635ed is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config f4d7f6 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 5448e7 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config e6e911 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 0f10d0 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 46a579 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 409930 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 973900 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 39f1ae is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 818cbb is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 02e0b8 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 7c3c4a is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 5ebade is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 6582db is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 0b0993 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config d6935c is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config cd13ee is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config cd4c2b is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 04173b is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config dd5f9b is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 8d020c is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 8cae70 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 90b0e6 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 759585 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config b5b43a is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 470bcf is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 6ef076 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 36943e is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 174106 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 624738 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config c5f14e is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 0d9f14 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 5c0b56 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 2f3430 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 2b710a is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 2215da is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 6a9164 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 80f804 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config a37eca is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config 9ceac5 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-    [INFO][abstract_intensifier.py:602] Config 29ed99 is a new incumbent. Total number of incumbents: 11.
+    [INFO][abstract_intensifier.py:602] Config b49511 is a new incumbent. Total number of incumbents: 11.
     [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
     [INFO][smbo.py:319] Finished 150 trials.
     [INFO][smbo.py:327] Configuration budget is exhausted:
@@ -344,15 +344,15 @@ SMAC prioritizes the second objective over the first one.
 
     Validated costs from the Pareto front (incumbents):
     --- [0.01538581 3.51922763]
-    --- [3.81477017e+00 2.19551629e-03]
+    --- [3.98157338e+00 2.12703017e-05]
     --- [0.66494111 1.40318427]
-    --- [0.28063773 2.16162765]
-    --- [1.21948125 0.80227625]
+    --- [0.27572929 2.17533202]
+    --- [1.23793885 0.78743083]
     --- [0.09228592 2.87714199]
     --- [3.16368713 0.04898446]
-    --- [2.51598724 0.17124171]
-    --- [1.60303937 0.53859173]
-    --- [2.0255363  0.33268282]
+    --- [2.5425014  0.16441216]
+    --- [1.56462636 0.56122534]
+    --- [2.01575389 0.33666398]
 
 
 
@@ -361,7 +361,7 @@ SMAC prioritizes the second objective over the first one.
 
 |
 
-.. code-block:: default
+.. code-block:: Python
 
 
     from __future__ import annotations
@@ -464,7 +464,7 @@ SMAC prioritizes the second objective over the first one.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 12.196 seconds)
+   **Total running time of the script:** (0 minutes 8.490 seconds)
 
 
 .. _sphx_glr_download_examples_3_multi_objective_1_schaffer.py:
@@ -473,7 +473,6 @@ SMAC prioritizes the second objective over the first one.
 
   .. container:: sphx-glr-footer sphx-glr-footer-example
 
-
     .. container:: binder-badge
 
       .. image:: images/binder_badge_logo.svg
@@ -481,12 +480,10 @@ SMAC prioritizes the second objective over the first one.
         :alt: Launch binder
         :width: 150 px
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: 1_schaffer.ipynb <1_schaffer.ipynb>`
 
     .. container:: sphx-glr-download sphx-glr-download-python
 
       :download:`Download Python source code: 1_schaffer.py <1_schaffer.py>`
-
-    .. container:: sphx-glr-download sphx-glr-download-jupyter
-
-      :download:`Download Jupyter notebook: 1_schaffer.ipynb <1_schaffer.ipynb>`
diff --git a/v2.0.2/_sources/examples/3_multi_objective/2_parego.rst.txt b/v2.0.2/_sources/examples/3_multi_objective/2_parego.rst.txt
index a2ef84f326..afef2d3a2e 100644
--- a/v2.0.2/_sources/examples/3_multi_objective/2_parego.rst.txt
+++ b/v2.0.2/_sources/examples/3_multi_objective/2_parego.rst.txt
@@ -46,20 +46,28 @@ mean accuracy and run-time of each configuration.
     [INFO][abstract_initial_design.py:147] Using 5 initial design configurations and 0 additional configurations.
     [INFO][abstract_intensifier.py:515] Added config 3623cc as new incumbent because there are no incumbents yet.
     [INFO][abstract_intensifier.py:602] Config 540db2 is a new incumbent. Total number of incumbents: 2.
-    [INFO][abstract_intensifier.py:602] Config 3b5efd is a new incumbent. Total number of incumbents: 3.
-    [INFO][abstract_intensifier.py:594] Added config edca48 and rejected config 503b4b as incumbent because it is not better than the incumbents on 2 instances:
-    [INFO][abstract_intensifier.py:602] Config 99f86d is a new incumbent. Total number of incumbents: 3.
+    [INFO][abstract_intensifier.py:602] Config 0c9159 is a new incumbent. Total number of incumbents: 3.
+    [INFO][abstract_intensifier.py:602] Config f81150 is a new incumbent. Total number of incumbents: 3.
+    [INFO][abstract_intensifier.py:594] Added config 9fd03c and rejected config f81150 as incumbent because it is not better than the incumbents on 2 instances:
+    [INFO][abstract_intensifier.py:602] Config b92f9f is a new incumbent. Total number of incumbents: 4.
+    [INFO][abstract_intensifier.py:594] Added config 2895a7 and rejected config 3b5efd as incumbent because it is not better than the incumbents on 2 instances:
+    [INFO][abstract_intensifier.py:594] Added config 978294 and rejected config 9fd03c as incumbent because it is not better than the incumbents on 2 instances:
+    [INFO][abstract_intensifier.py:602] Config 1b01ec is a new incumbent. Total number of incumbents: 4.
+    [INFO][abstract_intensifier.py:602] Config 8dcd94 is a new incumbent. Total number of incumbents: 4.
+    [INFO][abstract_intensifier.py:602] Config ce1565 is a new incumbent. Total number of incumbents: 5.
     [INFO][smbo.py:327] Configuration budget is exhausted:
-    [INFO][smbo.py:328] --- Remaining wallclock time: -0.006031036376953125
+    [INFO][smbo.py:328] --- Remaining wallclock time: -0.3699915409088135
     [INFO][smbo.py:329] --- Remaining cpu time: inf
-    [INFO][smbo.py:330] --- Remaining trials: 173
+    [INFO][smbo.py:330] --- Remaining trials: 156
     Validated costs from default config: 
-    --- [0.60155834 0.23677588]
+    --- [0.60155834 0.21888936]
 
     Validated costs from the Pareto front (incumbents):
-    --- [0.88924791 0.32734382]
-    --- [0.03033736 0.61645281]
-    --- [0.02949783 0.78047216]
+    --- [0.02421    0.52604556]
+    --- [0.03589601 0.37584984]
+    --- [0.14135562 0.18027866]
+    --- [0.07067858 0.23799729]
+    --- [0.05119468 0.32414722]
 
 
 
@@ -68,7 +76,7 @@ mean accuracy and run-time of each configuration.
 
 |
 
-.. code-block:: default
+.. code-block:: Python
 
     from __future__ import annotations
 
@@ -240,7 +248,7 @@ mean accuracy and run-time of each configuration.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 34.152 seconds)
+   **Total running time of the script:** (0 minutes 34.296 seconds)
 
 
 .. _sphx_glr_download_examples_3_multi_objective_2_parego.py:
@@ -249,7 +257,6 @@ mean accuracy and run-time of each configuration.
 
   .. container:: sphx-glr-footer sphx-glr-footer-example
 
-
     .. container:: binder-badge
 
       .. image:: images/binder_badge_logo.svg
@@ -257,12 +264,10 @@ mean accuracy and run-time of each configuration.
         :alt: Launch binder
         :width: 150 px
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: 2_parego.ipynb <2_parego.ipynb>`
 
     .. container:: sphx-glr-download sphx-glr-download-python
 
       :download:`Download Python source code: 2_parego.py <2_parego.py>`
-
-    .. container:: sphx-glr-download sphx-glr-download-jupyter
-
-      :download:`Download Jupyter notebook: 2_parego.ipynb <2_parego.ipynb>`
diff --git a/v2.0.2/_sources/examples/3_multi_objective/sg_execution_times.rst.txt b/v2.0.2/_sources/examples/3_multi_objective/sg_execution_times.rst.txt
index 8138d99498..0581b6a0d7 100644
--- a/v2.0.2/_sources/examples/3_multi_objective/sg_execution_times.rst.txt
+++ b/v2.0.2/_sources/examples/3_multi_objective/sg_execution_times.rst.txt
@@ -6,10 +6,35 @@
 
 Computation times
 =================
-**00:46.348** total execution time for **examples_3_multi_objective** files:
+**00:42.785** total execution time for 2 files **from examples/3_multi_objective**:
 
-+------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_3_multi_objective_2_parego.py` (``2_parego.py``)     | 00:34.152 | 0.0 MB |
-+------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_3_multi_objective_1_schaffer.py` (``1_schaffer.py``) | 00:12.196 | 0.0 MB |
-+------------------------------------------------------------------------------+-----------+--------+
+.. container::
+
+  .. raw:: html
+
+    
+    
+    
+    
+    
+
+  .. list-table::
+   :header-rows: 1
+   :class: table table-striped sg-datatable
+
+   * - Example
+     - Time
+     - Mem (MB)
+   * - :ref:`sphx_glr_examples_3_multi_objective_2_parego.py` (``2_parego.py``)
+     - 00:34.296
+     - 0.0
+   * - :ref:`sphx_glr_examples_3_multi_objective_1_schaffer.py` (``1_schaffer.py``)
+     - 00:08.490
+     - 0.0
diff --git a/v2.0.2/_sources/examples/5_commandline/1_call_target_function_script.rst.txt b/v2.0.2/_sources/examples/5_commandline/1_call_target_function_script.rst.txt
index a329b8036d..0e01b6fb7e 100644
--- a/v2.0.2/_sources/examples/5_commandline/1_call_target_function_script.rst.txt
+++ b/v2.0.2/_sources/examples/5_commandline/1_call_target_function_script.rst.txt
@@ -76,7 +76,7 @@ This simple example shows how to call a script with the following content:
 
 |
 
-.. code-block:: default
+.. code-block:: Python
 
 
     from ConfigSpace import ConfigurationSpace
@@ -112,7 +112,7 @@ This simple example shows how to call a script with the following content:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 5.831 seconds)
+   **Total running time of the script:** (0 minutes 3.944 seconds)
 
 
 .. _sphx_glr_download_examples_5_commandline_1_call_target_function_script.py:
@@ -121,7 +121,6 @@ This simple example shows how to call a script with the following content:
 
   .. container:: sphx-glr-footer sphx-glr-footer-example
 
-
     .. container:: binder-badge
 
       .. image:: images/binder_badge_logo.svg
@@ -129,12 +128,10 @@ This simple example shows how to call a script with the following content:
         :alt: Launch binder
         :width: 150 px
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
+      :download:`Download Jupyter notebook: 1_call_target_function_script.ipynb <1_call_target_function_script.ipynb>`
 
     .. container:: sphx-glr-download sphx-glr-download-python
 
       :download:`Download Python source code: 1_call_target_function_script.py <1_call_target_function_script.py>`
-
-    .. container:: sphx-glr-download sphx-glr-download-jupyter
-
-      :download:`Download Jupyter notebook: 1_call_target_function_script.ipynb <1_call_target_function_script.ipynb>`
diff --git a/v2.0.2/_sources/examples/5_commandline/sg_execution_times.rst.txt b/v2.0.2/_sources/examples/5_commandline/sg_execution_times.rst.txt
index 684a5bbb6d..0240f7092f 100644
--- a/v2.0.2/_sources/examples/5_commandline/sg_execution_times.rst.txt
+++ b/v2.0.2/_sources/examples/5_commandline/sg_execution_times.rst.txt
@@ -6,8 +6,32 @@
 
 Computation times
 =================
-**00:05.831** total execution time for **examples_5_commandline** files:
+**00:03.944** total execution time for 1 file **from examples/5_commandline**:
 
-+----------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_examples_5_commandline_1_call_target_function_script.py` (``1_call_target_function_script.py``) | 00:05.831 | 0.0 MB |
-+----------------------------------------------------------------------------------------------------------------+-----------+--------+
+.. container::
+
+  .. raw:: html
+
+    
+    
+    
+    
+    
+
+  .. list-table::
+   :header-rows: 1
+   :class: table table-striped sg-datatable
+
+   * - Example
+     - Time
+     - Mem (MB)
+   * - :ref:`sphx_glr_examples_5_commandline_1_call_target_function_script.py` (``1_call_target_function_script.py``)
+     - 00:03.944
+     - 0.0
diff --git a/v2.0.2/_sources/examples/sg_execution_times.rst.txt b/v2.0.2/_sources/examples/sg_execution_times.rst.txt
new file mode 100644
index 0000000000..f7a0c03b83
--- /dev/null
+++ b/v2.0.2/_sources/examples/sg_execution_times.rst.txt
@@ -0,0 +1,37 @@
+
+:orphan:
+
+.. _sphx_glr_examples_sg_execution_times:
+
+
+Computation times
+=================
+**00:00.000** total execution time for 0 files **from examples**:
+
+.. container::
+
+  .. raw:: html
+
+    
+    
+    
+    
+    
+
+  .. list-table::
+   :header-rows: 1
+   :class: table table-striped sg-datatable
+
+   * - Example
+     - Time
+     - Mem (MB)
+   * - N/A
+     - N/A
+     - N/A
diff --git a/v2.0.2/_sources/sg_execution_times.rst.txt b/v2.0.2/_sources/sg_execution_times.rst.txt
new file mode 100644
index 0000000000..d037ba644a
--- /dev/null
+++ b/v2.0.2/_sources/sg_execution_times.rst.txt
@@ -0,0 +1,67 @@
+
+:orphan:
+
+.. _sphx_glr_sg_execution_times:
+
+
+Computation times
+=================
+**04:21.014** total execution time for 11 files **from all galleries**:
+
+.. container::
+
+  .. raw:: html
+
+    
+    
+    
+    
+    
+
+  .. list-table::
+   :header-rows: 1
+   :class: table table-striped sg-datatable
+
+   * - Example
+     - Time
+     - Mem (MB)
+   * - :ref:`sphx_glr_examples_2_multi_fidelity_1_mlp_epochs.py` (``../examples/2_multi_fidelity/1_mlp_epochs.py``)
+     - 02:28.424
+     - 0.0
+   * - :ref:`sphx_glr_examples_2_multi_fidelity_2_sgd_datasets.py` (``../examples/2_multi_fidelity/2_sgd_datasets.py``)
+     - 00:35.078
+     - 0.0
+   * - :ref:`sphx_glr_examples_3_multi_objective_2_parego.py` (``../examples/3_multi_objective/2_parego.py``)
+     - 00:34.296
+     - 0.0
+   * - :ref:`sphx_glr_examples_1_basics_6_priors.py` (``../examples/1_basics/6_priors.py``)
+     - 00:24.000
+     - 0.0
+   * - :ref:`sphx_glr_examples_3_multi_objective_1_schaffer.py` (``../examples/3_multi_objective/1_schaffer.py``)
+     - 00:08.490
+     - 0.0
+   * - :ref:`sphx_glr_examples_5_commandline_1_call_target_function_script.py` (``../examples/5_commandline/1_call_target_function_script.py``)
+     - 00:03.944
+     - 0.0
+   * - :ref:`sphx_glr_examples_1_basics_3_ask_and_tell.py` (``../examples/1_basics/3_ask_and_tell.py``)
+     - 00:02.636
+     - 0.0
+   * - :ref:`sphx_glr_examples_1_basics_1_quadratic_function.py` (``../examples/1_basics/1_quadratic_function.py``)
+     - 00:02.398
+     - 0.0
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+   * - :ref:`sphx_glr_examples_1_basics_2_svm_cv.py` (``../examples/1_basics/2_svm_cv.py``)
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+   * - :ref:`sphx_glr_examples_1_basics_4_callback.py` (``../examples/1_basics/4_callback.py``)
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diff --git a/v2.0.2/api/smac.acquisition.function.abstract_acquisition_function.html b/v2.0.2/api/smac.acquisition.function.abstract_acquisition_function.html
index 1159956a2b..c9365740cb 100644
--- a/v2.0.2/api/smac.acquisition.function.abstract_acquisition_function.html
+++ b/v2.0.2/api/smac.acquisition.function.abstract_acquisition_function.html
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None

 

 
 
diff --git a/v2.0.2/api/smac.acquisition.function.html b/v2.0.2/api/smac.acquisition.function.html
index 8cfc49fcd6..8e5c667407 100644
--- a/v2.0.2/api/smac.acquisition.function.html
+++ b/v2.0.2/api/smac.acquisition.function.html
@@ -1419,7 +1419,7 @@ 
InterfacesReturn type:
-
None

+
None

 

 
 
diff --git a/v2.0.2/api/smac.callback.callback.html b/v2.0.2/api/smac.callback.callback.html
index 9cef87e19b..512c7d2bbe 100644
--- a/v2.0.2/api/smac.callback.callback.html
+++ b/v2.0.2/api/smac.callback.callback.html
@@ -1162,7 +1162,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1173,7 +1173,7 @@ 
Interfaces
 
Return type:

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None

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None

 

 
 
@@ -1184,7 +1184,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1195,7 +1195,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1206,7 +1206,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1218,7 +1218,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1230,7 +1230,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1241,7 +1241,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1253,7 +1253,7 @@ 
Interfaces
 
Return type:

-
Optional[bool]

+
Optional[bool]

 

 
 
@@ -1265,7 +1265,7 @@ 
Interfaces
 
Return type:

-
Optional[bool]

+
Optional[bool]

 

 
 
diff --git a/v2.0.2/api/smac.callback.html b/v2.0.2/api/smac.callback.html
index c76b5e9c3e..d61ceaa476 100644
--- a/v2.0.2/api/smac.callback.html
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@@ -1172,7 +1172,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1183,7 +1183,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1194,7 +1194,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1205,7 +1205,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1216,7 +1216,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1228,7 +1228,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1240,7 +1240,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1251,7 +1251,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1263,7 +1263,7 @@ 
Interfaces
 
Return type:

-
Optional[bool]

+
Optional[bool]

 

 
 
@@ -1275,7 +1275,7 @@ 
Interfaces
 
Return type:

-
Optional[bool]

+
Optional[bool]

 

 
 
@@ -1292,7 +1292,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
diff --git a/v2.0.2/api/smac.callback.metadata_callback.html b/v2.0.2/api/smac.callback.metadata_callback.html
index 92050de0a5..362cdbfc19 100644
--- a/v2.0.2/api/smac.callback.metadata_callback.html
+++ b/v2.0.2/api/smac.callback.metadata_callback.html
@@ -1080,7 +1080,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
diff --git a/v2.0.2/api/smac.facade.abstract_facade.html b/v2.0.2/api/smac.facade.abstract_facade.html
index b849be2959..fc74cbc117 100644
--- a/v2.0.2/api/smac.facade.abstract_facade.html
+++ b/v2.0.2/api/smac.facade.abstract_facade.html
@@ -1277,7 +1277,7 @@ 
Interfaces
 
Return type:

-
TrialInfo

+
TrialInfo

 

 
 
@@ -1289,7 +1289,7 @@ 
Interfaces
 
Return type:

-
AbstractAcquisitionFunction

+
AbstractAcquisitionFunction

 

 
 
@@ -1301,7 +1301,7 @@ 
Interfaces
 
Return type:

-
AbstractAcquisitionMaximizer

+
AbstractAcquisitionMaximizer

 

 
 
@@ -1312,7 +1312,7 @@ 
Interfaces
 
Return type:

-
ConfigSelector

+
ConfigSelector

 

 
 
@@ -1324,7 +1324,7 @@ 
Interfaces
 
Return type:

-
AbstractInitialDesign

+
AbstractInitialDesign

 

 
 
@@ -1336,7 +1336,7 @@ 
Interfaces
 
Return type:

-
AbstractIntensifier

+
AbstractIntensifier

 

 
 
@@ -1347,7 +1347,7 @@ 
Interfaces
 
Return type:

-
AbstractModel

+
AbstractModel

 

 
 
@@ -1359,7 +1359,7 @@ 
Interfaces
 
Return type:

-
AbstractMultiObjectiveAlgorithm

+
AbstractMultiObjectiveAlgorithm

 

 
 
@@ -1371,7 +1371,7 @@ 
Interfaces
 
Return type:

-
AbstractRandomDesign

+
AbstractRandomDesign

 

 
 
@@ -1383,7 +1383,7 @@ 
Interfaces
 
Return type:

-
AbstractRunHistoryEncoder

+
AbstractRunHistoryEncoder

 

 
 
@@ -1455,7 +1455,7 @@ 
InterfacesReturn type:
-
None

+
None

 

 
 
diff --git a/v2.0.2/api/smac.facade.algorithm_configuration_facade.html b/v2.0.2/api/smac.facade.algorithm_configuration_facade.html
index c0408c333d..e7a5b27396 100644
--- a/v2.0.2/api/smac.facade.algorithm_configuration_facade.html
+++ b/v2.0.2/api/smac.facade.algorithm_configuration_facade.html
@@ -1150,7 +1150,7 @@ 
InterfacesReturn type:
-
EI

+
EI

 

 
 
@@ -1161,7 +1161,7 @@ 
Interfaces
 
Return type:

-
LocalAndSortedRandomSearch

+
LocalAndSortedRandomSearch

 

 
 
@@ -1175,7 +1175,7 @@ 
Interfaces
additional_configs (list[Configuration], defaults to []) – Adds additional configurations to the initial design.

 
 
Return type:

-
DefaultInitialDesign

+
DefaultInitialDesign

 

 
 
@@ -1193,7 +1193,7 @@ 
InterfacesReturn type:
-
Intensifier

+
Intensifier

 

 
 
@@ -1215,7 +1215,7 @@ 
InterfacesReturn type:
-
RandomForest

+
RandomForest

 

 
 
@@ -1233,7 +1233,7 @@ 
InterfacesReturn type:
-
MeanAggregationStrategy

+
MeanAggregationStrategy

 

 
 
@@ -1247,7 +1247,7 @@ 
Interfaces
probability (float, defaults to 0.5) – Probability that a configuration will be drawn at random.

 
 
Return type:

-
ProbabilityRandomDesign

+
ProbabilityRandomDesign

 

 
 
@@ -1258,7 +1258,7 @@ 
Interfaces
 
Return type:

-
RunHistoryEncoder

+
RunHistoryEncoder

 

 
 
diff --git a/v2.0.2/api/smac.facade.blackbox_facade.html b/v2.0.2/api/smac.facade.blackbox_facade.html
index ffea59ae12..ed19fef527 100644
--- a/v2.0.2/api/smac.facade.blackbox_facade.html
+++ b/v2.0.2/api/smac.facade.blackbox_facade.html
@@ -1159,7 +1159,7 @@ 
InterfacesReturn type:
-
EI

+
EI

 

 
 
@@ -1176,7 +1176,7 @@ 
InterfacesReturn type:
-
LocalAndSortedRandomSearch

+
LocalAndSortedRandomSearch

 

 
 
@@ -1199,7 +1199,7 @@ 
InterfacesReturn type:
-
SobolInitialDesign

+
SobolInitialDesign

 

 
 
@@ -1218,7 +1218,7 @@ 
InterfacesReturn type:
-
Intensifier

+
Intensifier

 

 
 
@@ -1231,7 +1231,7 @@ 
Interfaces
 
Return type:

-
Kernel

+
Kernel

 

 
 
@@ -1270,7 +1270,7 @@ 
InterfacesReturn type:
-
MeanAggregationStrategy

+
MeanAggregationStrategy

 

 
 
@@ -1284,7 +1284,7 @@ 
Interfaces
probability (float, defaults to 0.08447232371720552) – Probability that a configuration will be drawn at random.

 
 
Return type:

-
ProbabilityRandomDesign

+
ProbabilityRandomDesign

 

 
 
@@ -1295,7 +1295,7 @@ 
Interfaces
 
Return type:

-
RunHistoryEncoder

+
RunHistoryEncoder

 

 
 
diff --git a/v2.0.2/api/smac.facade.html b/v2.0.2/api/smac.facade.html
index 59886baa99..fd89300724 100644
--- a/v2.0.2/api/smac.facade.html
+++ b/v2.0.2/api/smac.facade.html
@@ -1657,7 +1657,7 @@ 
Interfaces
 
Return type:

-
TrialInfo

+
TrialInfo

 

 
 
@@ -1669,7 +1669,7 @@ 
Interfaces
 
Return type:

-
AbstractAcquisitionFunction

+
AbstractAcquisitionFunction

 

 
 
@@ -1681,7 +1681,7 @@ 
Interfaces
 
Return type:

-
AbstractAcquisitionMaximizer

+
AbstractAcquisitionMaximizer

 

 
 
@@ -1692,7 +1692,7 @@ 
Interfaces
 
Return type:

-
ConfigSelector

+
ConfigSelector

 

 
 
@@ -1704,7 +1704,7 @@ 
Interfaces
 
Return type:

-
AbstractInitialDesign

+
AbstractInitialDesign

 

 
 
@@ -1716,7 +1716,7 @@ 
Interfaces
 
Return type:

-
AbstractIntensifier

+
AbstractIntensifier

 

 
 
@@ -1727,7 +1727,7 @@ 
Interfaces
 
Return type:

-
AbstractModel

+
AbstractModel

 

 
 
@@ -1739,7 +1739,7 @@ 
Interfaces
 
Return type:

-
AbstractMultiObjectiveAlgorithm

+
AbstractMultiObjectiveAlgorithm

 

 
 
@@ -1751,7 +1751,7 @@ 
Interfaces
 
Return type:

-
AbstractRandomDesign

+
AbstractRandomDesign

 

 
 
@@ -1763,7 +1763,7 @@ 
Interfaces
 
Return type:

-
AbstractRunHistoryEncoder

+
AbstractRunHistoryEncoder

 

 
 
@@ -1835,7 +1835,7 @@ 
InterfacesReturn type:
-
None

+
None

 

 
 
@@ -1883,7 +1883,7 @@ 
InterfacesReturn type:
-
EI

+
EI

 

 
 
@@ -1894,7 +1894,7 @@ 
Interfaces
 
Return type:

-
LocalAndSortedRandomSearch

+
LocalAndSortedRandomSearch

 

 
 
@@ -1908,7 +1908,7 @@ 
Interfaces
additional_configs (list[Configuration], defaults to []) – Adds additional configurations to the initial design.

 
 
Return type:

-
DefaultInitialDesign

+
DefaultInitialDesign

 

 
 
@@ -1926,7 +1926,7 @@ 
InterfacesReturn type:
-
Intensifier

+
Intensifier

 

 
 
@@ -1948,7 +1948,7 @@ 
InterfacesReturn type:
-
RandomForest

+
RandomForest

 

 
 
@@ -1966,7 +1966,7 @@ 
InterfacesReturn type:
-
MeanAggregationStrategy

+
MeanAggregationStrategy

 

 
 
@@ -1980,7 +1980,7 @@ 
Interfaces
probability (float, defaults to 0.5) – Probability that a configuration will be drawn at random.

 
 
Return type:

-
ProbabilityRandomDesign

+
ProbabilityRandomDesign

 

 
 
@@ -1991,7 +1991,7 @@ 
Interfaces
 
Return type:

-
RunHistoryEncoder

+
RunHistoryEncoder

 

 
 
@@ -2015,7 +2015,7 @@ 
InterfacesReturn type:
-
EI

+
EI

 

 
 
@@ -2032,7 +2032,7 @@ 
InterfacesReturn type:
-
LocalAndSortedRandomSearch

+
LocalAndSortedRandomSearch

 

 
 
@@ -2055,7 +2055,7 @@ 
InterfacesReturn type:
-
SobolInitialDesign

+
SobolInitialDesign

 

 
 
@@ -2074,7 +2074,7 @@ 
InterfacesReturn type:
-
Intensifier

+
Intensifier

 

 
 
@@ -2087,7 +2087,7 @@ 
Interfaces
 
Return type:

-
Kernel

+
Kernel

 

 
 
@@ -2126,7 +2126,7 @@ 
InterfacesReturn type:
-
MeanAggregationStrategy

+
MeanAggregationStrategy

 

 
 
@@ -2140,7 +2140,7 @@ 
Interfaces
probability (float, defaults to 0.08447232371720552) – Probability that a configuration will be drawn at random.

 
 
Return type:

-
ProbabilityRandomDesign

+
ProbabilityRandomDesign

 

 
 
@@ -2151,7 +2151,7 @@ 
Interfaces
 
Return type:

-
RunHistoryEncoder

+
RunHistoryEncoder

 

 
 
@@ -2171,7 +2171,7 @@ 
Interfaces
 
Return type:

-
Hyperband

+
Hyperband

 

 
 

@@ -2213,7 +2213,7 @@ 
InterfacesReturn type:
-
EI

+
EI

 

 

 
@@ -2234,7 +2234,7 @@ 
InterfacesReturn type:
-
LocalAndSortedRandomSearch

+
LocalAndSortedRandomSearch

 

 
 
@@ -2257,7 +2257,7 @@ 
InterfacesReturn type:
-
SobolInitialDesign

+
SobolInitialDesign

 

 
 
@@ -2276,7 +2276,7 @@ 
InterfacesReturn type:
-
Intensifier

+
Intensifier

 

 
 
@@ -2297,7 +2297,7 @@ 
InterfacesReturn type:
-
RandomForest

+
RandomForest

 

 
 
@@ -2315,7 +2315,7 @@ 
InterfacesReturn type:
-
MeanAggregationStrategy

+
MeanAggregationStrategy

 

 
 
@@ -2329,7 +2329,7 @@ 
Interfaces
probability (float, defaults to 0.2) – Probability that a configuration will be drawn at random.

 
 
Return type:

-
ProbabilityRandomDesign

+
ProbabilityRandomDesign

 

 
 
@@ -2341,7 +2341,7 @@ 
Interfaces
 
Return type:

-
RunHistoryLogScaledEncoder

+
RunHistoryLogScaledEncoder

 

 
 
@@ -2371,7 +2371,7 @@ 
InterfacesReturn type:
-
RandomInitialDesign

+
RandomInitialDesign

 

 
 
@@ -2382,7 +2382,7 @@ 
Interfaces
 
Return type:

-
Hyperband

+
Hyperband

 

 
 

@@ -2448,7 +2448,7 @@ 
Interfaces
 
Return type:

-
AbstractAcquisitionFunction

+
AbstractAcquisitionFunction

 

 

 
@@ -2460,7 +2460,7 @@ 
Interfaces
 
Return type:

-
RandomSearch

+
RandomSearch

 

 
 
@@ -2474,7 +2474,7 @@ 
Interfaces
additional_configs (list[Configuration], defaults to []) – Adds additional configurations to the initial design.

 
 
Return type:

-
DefaultInitialDesign

+
DefaultInitialDesign

 

 
 
@@ -2500,7 +2500,7 @@ 
InterfacesReturn type:
-
Intensifier

+
Intensifier

 

 
 
@@ -2512,7 +2512,7 @@ 
Interfaces
 
Return type:

-
RandomModel

+
RandomModel

 

 
 
@@ -2530,7 +2530,7 @@ 
InterfacesReturn type:
-
MeanAggregationStrategy

+
MeanAggregationStrategy

 

 
 
@@ -2541,7 +2541,7 @@ 
Interfaces
 
Return type:

-
AbstractRandomDesign

+
AbstractRandomDesign

 

 
 
@@ -2552,7 +2552,7 @@ 
Interfaces
 
Return type:

-
RunHistoryEncoder

+
RunHistoryEncoder

 

 
 
diff --git a/v2.0.2/api/smac.facade.hyperband_facade.html b/v2.0.2/api/smac.facade.hyperband_facade.html
index cf6c8ca07f..2c822dac95 100644
--- a/v2.0.2/api/smac.facade.hyperband_facade.html
+++ b/v2.0.2/api/smac.facade.hyperband_facade.html
@@ -1083,7 +1083,7 @@ 
Interfaces
 
Return type:

-
Hyperband

+
Hyperband

 

 
 

diff --git a/v2.0.2/api/smac.facade.hyperparameter_optimization_facade.html b/v2.0.2/api/smac.facade.hyperparameter_optimization_facade.html
index 4f0f0f6931..b094d558f3 100644
--- a/v2.0.2/api/smac.facade.hyperparameter_optimization_facade.html
+++ b/v2.0.2/api/smac.facade.hyperparameter_optimization_facade.html
@@ -1150,7 +1150,7 @@ 
InterfacesReturn type:
-
EI

+
EI

 

 

 
@@ -1171,7 +1171,7 @@ 
InterfacesReturn type:
-
LocalAndSortedRandomSearch

+
LocalAndSortedRandomSearch

 

 
 
@@ -1194,7 +1194,7 @@ 
InterfacesReturn type:
-
SobolInitialDesign

+
SobolInitialDesign

 

 
 
@@ -1213,7 +1213,7 @@ 
InterfacesReturn type:
-
Intensifier

+
Intensifier

 

 
 
@@ -1234,7 +1234,7 @@ 
InterfacesReturn type:
-
RandomForest

+
RandomForest

 

 
 
@@ -1252,7 +1252,7 @@ 
InterfacesReturn type:
-
MeanAggregationStrategy

+
MeanAggregationStrategy

 

 
 
@@ -1266,7 +1266,7 @@ 
Interfaces
probability (float, defaults to 0.2) – Probability that a configuration will be drawn at random.

 
 
Return type:

-
ProbabilityRandomDesign

+
ProbabilityRandomDesign

 

 
 
@@ -1278,7 +1278,7 @@ 
Interfaces
 
Return type:

-
RunHistoryLogScaledEncoder

+
RunHistoryLogScaledEncoder

 

 
 
diff --git a/v2.0.2/api/smac.facade.multi_fidelity_facade.html b/v2.0.2/api/smac.facade.multi_fidelity_facade.html
index cfd18a4acd..dd9c1a204c 100644
--- a/v2.0.2/api/smac.facade.multi_fidelity_facade.html
+++ b/v2.0.2/api/smac.facade.multi_fidelity_facade.html
@@ -1102,7 +1102,7 @@ 
InterfacesReturn type:
-
RandomInitialDesign

+
RandomInitialDesign

 

 
 
@@ -1113,7 +1113,7 @@ 
Interfaces
 
Return type:

-
Hyperband

+
Hyperband

 

 
 

diff --git a/v2.0.2/api/smac.facade.random_facade.html b/v2.0.2/api/smac.facade.random_facade.html
index 9af2a909d8..4b9994453d 100644
--- a/v2.0.2/api/smac.facade.random_facade.html
+++ b/v2.0.2/api/smac.facade.random_facade.html
@@ -1168,7 +1168,7 @@ 
Interfaces
 
Return type:

-
AbstractAcquisitionFunction

+
AbstractAcquisitionFunction

 

 

 
@@ -1180,7 +1180,7 @@ 
Interfaces
 
Return type:

-
RandomSearch

+
RandomSearch

 

 
 
@@ -1194,7 +1194,7 @@ 
Interfaces
additional_configs (list[Configuration], defaults to []) – Adds additional configurations to the initial design.

 
 
Return type:

-
DefaultInitialDesign

+
DefaultInitialDesign

 

 
 
@@ -1220,7 +1220,7 @@ 
InterfacesReturn type:
-
Intensifier

+
Intensifier

 

 
 
@@ -1232,7 +1232,7 @@ 
Interfaces
 
Return type:

-
RandomModel

+
RandomModel

 

 
 
@@ -1250,7 +1250,7 @@ 
InterfacesReturn type:
-
MeanAggregationStrategy

+
MeanAggregationStrategy

 

 
 
@@ -1261,7 +1261,7 @@ 
Interfaces
 
Return type:

-
AbstractRandomDesign

+
AbstractRandomDesign

 

 
 
@@ -1272,7 +1272,7 @@ 
Interfaces
 
Return type:

-
RunHistoryEncoder

+
RunHistoryEncoder

 

 
 
diff --git a/v2.0.2/api/smac.intensifier.abstract_intensifier.html b/v2.0.2/api/smac.intensifier.abstract_intensifier.html
index b812ba7684..4241b364ee 100644
--- a/v2.0.2/api/smac.intensifier.abstract_intensifier.html
+++ b/v2.0.2/api/smac.intensifier.abstract_intensifier.html
@@ -1329,7 +1329,7 @@ 
Interfaces
 
Return type:

-
Iterator[TrialInfo]

+
Iterator[TrialInfo]

 

 
 
@@ -1340,7 +1340,7 @@ 
Interfacesself._tf_seeds and self._tf_instances. Moreover, the incumbents are updated.

 

 
Return type:

-
None

+
None

 

 

 
@@ -1365,7 +1365,7 @@ 
Interfaces
 
Return type:

-
Callback

+
Callback

 

 
 
@@ -1376,7 +1376,7 @@ 
Interfaces
 
Return type:

-
Optional[Configuration]

+
Optional[Configuration]

 

 
 
@@ -1388,7 +1388,7 @@ 
Interfaces
 
Return type:

-
list[InstanceSeedBudgetKey]

+
list[InstanceSeedBudgetKey]

 

 
 
@@ -1399,7 +1399,7 @@ 
Interfaces
 
Return type:

-
list[InstanceSeedBudgetKey]

+
list[InstanceSeedBudgetKey]

 

 
 
@@ -1411,7 +1411,7 @@ 
Interfaces
 
Return type:

-
list[Configuration]

+
list[Configuration]

 

 
Returns:

 

@@ -1469,7 +1469,7 @@ 
Interfaces
 
Return type:

-
list[Configuration]

+
list[Configuration]

 

 
 
@@ -1480,7 +1480,7 @@ 
Interfaces
 
Return type:

-
dict[str, Any]

+
dict[str, Any]

 

 
 
@@ -1492,7 +1492,7 @@ 
Interfacesget_instance_seed_keys_of_interest with the config.

 

 
Return type:

-
list[TrialInfo]

+
list[TrialInfo]

 

 

 
@@ -1509,7 +1509,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1526,7 +1526,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1544,7 +1544,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1555,7 +1555,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1590,7 +1590,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
diff --git a/v2.0.2/api/smac.intensifier.html b/v2.0.2/api/smac.intensifier.html
index 2bc28e2860..2f3b2c72ad 100644
--- a/v2.0.2/api/smac.intensifier.html
+++ b/v2.0.2/api/smac.intensifier.html
@@ -1541,7 +1541,7 @@ 
Interfaces
 
Return type:

-
Iterator[TrialInfo]

+
Iterator[TrialInfo]

 

 
 
@@ -1552,7 +1552,7 @@ 
Interfacesself._tf_seeds and self._tf_instances. Moreover, the incumbents are updated.

 

 
Return type:

-
None

+
None

 

 

 
@@ -1577,7 +1577,7 @@ 
Interfaces
 
Return type:

-
Callback

+
Callback

 

 
 
@@ -1588,7 +1588,7 @@ 
Interfaces
 
Return type:

-
Optional[Configuration]

+
Optional[Configuration]

 

 
 
@@ -1600,7 +1600,7 @@ 
Interfaces
 
Return type:

-
list[InstanceSeedBudgetKey]

+
list[InstanceSeedBudgetKey]

 

 
 
@@ -1611,7 +1611,7 @@ 
Interfaces
 
Return type:

-
list[InstanceSeedBudgetKey]

+
list[InstanceSeedBudgetKey]

 

 
 
@@ -1623,7 +1623,7 @@ 
Interfaces
 
Return type:

-
list[Configuration]

+
list[Configuration]

 

 
Returns:

 

@@ -1681,7 +1681,7 @@ 
Interfaces
 
Return type:

-
list[Configuration]

+
list[Configuration]

 

 
 
@@ -1692,7 +1692,7 @@ 
Interfaces
 
Return type:

-
dict[str, Any]

+
dict[str, Any]

 

 
 
@@ -1704,7 +1704,7 @@ 
Interfacesget_instance_seed_keys_of_interest with the config.

 

 
Return type:

-
list[TrialInfo]

+
list[TrialInfo]

 

 

 
@@ -1721,7 +1721,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1738,7 +1738,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1756,7 +1756,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1767,7 +1767,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1802,7 +1802,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1844,7 +1844,7 @@ 
Interfaces
 
Return type:

-
dict[str, Any]

+
dict[str, Any]

 

 
 
@@ -1855,7 +1855,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1866,7 +1866,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1931,7 +1931,7 @@ 
Interfaces
 
Return type:

-
dict[str, Any]

+
dict[str, Any]

 

 
 
@@ -1942,7 +1942,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1953,7 +1953,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -2031,7 +2031,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -2051,7 +2051,7 @@ 
InterfacesReturn type:
-
list[InstanceSeedBudgetKey]

+
list[InstanceSeedBudgetKey]

 

 
 
@@ -2062,7 +2062,7 @@ 
Interfaces
 
Return type:

-
dict[str, Any]

+
dict[str, Any]

 

 
 
@@ -2074,7 +2074,7 @@ 
Interfacesget_instance_seed_keys_of_interest with the config.

 

 
Return type:

-
list[TrialInfo]

+
list[TrialInfo]

 

 

 
@@ -2091,7 +2091,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -2102,7 +2102,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -2113,7 +2113,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
diff --git a/v2.0.2/api/smac.intensifier.hyperband.html b/v2.0.2/api/smac.intensifier.hyperband.html
index c776828fdd..9e4785acd4 100644
--- a/v2.0.2/api/smac.intensifier.hyperband.html
+++ b/v2.0.2/api/smac.intensifier.hyperband.html
@@ -1099,7 +1099,7 @@ 
Interfaces
 
Return type:

-
dict[str, Any]

+
dict[str, Any]

 

 
 
@@ -1110,7 +1110,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1121,7 +1121,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
diff --git a/v2.0.2/api/smac.intensifier.intensifier.html b/v2.0.2/api/smac.intensifier.intensifier.html
index f94167a519..45e654c155 100644
--- a/v2.0.2/api/smac.intensifier.intensifier.html
+++ b/v2.0.2/api/smac.intensifier.intensifier.html
@@ -1182,7 +1182,7 @@ 
Interfaces
 
Return type:

-
dict[str, Any]

+
dict[str, Any]

 

 
 
@@ -1193,7 +1193,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1204,7 +1204,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
diff --git a/v2.0.2/api/smac.intensifier.successive_halving.html b/v2.0.2/api/smac.intensifier.successive_halving.html
index 2e94102b45..5da84d18d9 100644
--- a/v2.0.2/api/smac.intensifier.successive_halving.html
+++ b/v2.0.2/api/smac.intensifier.successive_halving.html
@@ -1213,7 +1213,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1233,7 +1233,7 @@ 
InterfacesReturn type:
-
list[InstanceSeedBudgetKey]

+
list[InstanceSeedBudgetKey]

 

 
 
@@ -1244,7 +1244,7 @@ 
Interfaces
 
Return type:

-
dict[str, Any]

+
dict[str, Any]

 

 
 
@@ -1256,7 +1256,7 @@ 
Interfacesget_instance_seed_keys_of_interest with the config.

 

 
Return type:

-
list[TrialInfo]

+
list[TrialInfo]

 

 

 
@@ -1273,7 +1273,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1284,7 +1284,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1295,7 +1295,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
diff --git a/v2.0.2/api/smac.main.smbo.html b/v2.0.2/api/smac.main.smbo.html
index f12aeb0a4d..c6cfd72862 100644
--- a/v2.0.2/api/smac.main.smbo.html
+++ b/v2.0.2/api/smac.main.smbo.html
@@ -1294,7 +1294,7 @@ 
Interfaces
filename (str | Path) – The name of the folder of the SMAC run.

 
 
Return type:

-
bool

+
bool

 

 
 
@@ -1311,7 +1311,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1344,7 +1344,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1363,7 +1363,7 @@ 
InterfacesReturn type:
-
None

+
None

 

 
 
@@ -1392,7 +1392,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1409,7 +1409,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1427,7 +1427,7 @@ 
InterfacesReturn type:
-
None

+
None

 

 
 
@@ -1439,7 +1439,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1450,7 +1450,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
diff --git a/v2.0.2/api/smac.model.abstract_model.html b/v2.0.2/api/smac.model.abstract_model.html
index a29f311b1b..c387fe3900 100644
--- a/v2.0.2/api/smac.model.abstract_model.html
+++ b/v2.0.2/api/smac.model.abstract_model.html
@@ -1141,7 +1141,7 @@ 
InterfacesReturn type:
-
tuple[ndarray, Optional[ndarray]]

+
tuple[ndarray, Optional[ndarray]]

 

 
Returns:

 

 
Return type:

-
tuple[ndarray, ndarray]

+
tuple[ndarray, ndarray]

 

 
Returns:

 

@@ -1323,7 +1323,7 @@ 
InterfacesReturn type:
-
ndarray | tuple[ndarray, ndarray]

+
ndarray | tuple[ndarray, ndarray]

 

 
Returns:

 

diff --git a/v2.0.2/api/smac.random_design.html b/v2.0.2/api/smac.random_design.html
index 935b1675e0..2a1a24fff5 100644
--- a/v2.0.2/api/smac.random_design.html
+++ b/v2.0.2/api/smac.random_design.html
@@ -1289,7 +1289,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1341,7 +1341,7 @@ 
Interfacesself._probability.

 

 
Return type:

-
None

+
None

 

 

 
@@ -1394,7 +1394,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1444,7 +1444,7 @@ 
Interfacesfactor.

 

 
Return type:

-
None

+
None

 

 

 
diff --git a/v2.0.2/api/smac.random_design.modulus_design.html b/v2.0.2/api/smac.random_design.modulus_design.html
index 72463cf329..6fc225a2f7 100644
--- a/v2.0.2/api/smac.random_design.modulus_design.html
+++ b/v2.0.2/api/smac.random_design.modulus_design.html
@@ -1166,7 +1166,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
diff --git a/v2.0.2/api/smac.random_design.probability_design.html b/v2.0.2/api/smac.random_design.probability_design.html
index 42d8508459..10c3ac16f8 100644
--- a/v2.0.2/api/smac.random_design.probability_design.html
+++ b/v2.0.2/api/smac.random_design.probability_design.html
@@ -1163,7 +1163,7 @@ 
Interfacesfactor.

 

 
Return type:

-
None

+
None

 

 

 
diff --git a/v2.0.2/api/smac.runhistory.dataclasses.html b/v2.0.2/api/smac.runhistory.dataclasses.html
index 4ae42b0bd2..128d72a47c 100644
--- a/v2.0.2/api/smac.runhistory.dataclasses.html
+++ b/v2.0.2/api/smac.runhistory.dataclasses.html
@@ -1170,7 +1170,7 @@ 
Interfaces
 
Return type:

-
InstanceSeedKey

+
InstanceSeedKey

 

 
 
@@ -1230,7 +1230,7 @@ 
Interfaces
 
Return type:

-
InstanceSeedBudgetKey

+
InstanceSeedBudgetKey

 

 
 
@@ -1241,7 +1241,7 @@ 
Interfaces
 
Return type:

-
InstanceSeedKey

+
InstanceSeedKey

 

 
 
diff --git a/v2.0.2/api/smac.runhistory.encoder.abstract_encoder.html b/v2.0.2/api/smac.runhistory.encoder.abstract_encoder.html
index 647a9c39fc..14492fe0c0 100644
--- a/v2.0.2/api/smac.runhistory.encoder.abstract_encoder.html
+++ b/v2.0.2/api/smac.runhistory.encoder.abstract_encoder.html
@@ -1192,7 +1192,7 @@ 
Interfaces
budget_subset (list | None, defaults to none) – List of budgets to consider.

 
 
Return type:

-
tuple[ndarray, ndarray]

+
tuple[ndarray, ndarray]

 

 
Returns:

 

diff --git a/v2.0.2/api/smac.runhistory.encoder.html b/v2.0.2/api/smac.runhistory.encoder.html
index 602bc6615b..e84557f4e9 100644
--- a/v2.0.2/api/smac.runhistory.encoder.html
+++ b/v2.0.2/api/smac.runhistory.encoder.html
@@ -1322,7 +1322,7 @@ 
Interfaces
budget_subset (list | None, defaults to none) – List of budgets to consider.

 
 
Return type:

-
tuple[ndarray, ndarray]

+
tuple[ndarray, ndarray]

 

 
Returns:

 

@@ -1403,7 +1403,7 @@ 
Interfaces
 
Return type:

-
ndarray

+
ndarray

 

 
 
@@ -1420,7 +1420,7 @@ 
Interfaces
 
Return type:

-
ndarray

+
ndarray

 

 
 
@@ -1438,7 +1438,7 @@ 
Interfaces
 
Return type:

-
ndarray

+
ndarray

 

 
 
@@ -1455,7 +1455,7 @@ 
Interfaces
 
Return type:

-
ndarray

+
ndarray

 

 
 
@@ -1473,7 +1473,7 @@ 
Interfaces
 
Return type:

-
ndarray

+
ndarray

 

 
 
diff --git a/v2.0.2/api/smac.runhistory.encoder.inverse_scaled_encoder.html b/v2.0.2/api/smac.runhistory.encoder.inverse_scaled_encoder.html
index 5c2a81c088..dedec6e7db 100644
--- a/v2.0.2/api/smac.runhistory.encoder.inverse_scaled_encoder.html
+++ b/v2.0.2/api/smac.runhistory.encoder.inverse_scaled_encoder.html
@@ -1081,7 +1081,7 @@ 
Interfaces
 
Return type:

-
ndarray

+
ndarray

 

 
 
diff --git a/v2.0.2/api/smac.runhistory.encoder.log_encoder.html b/v2.0.2/api/smac.runhistory.encoder.log_encoder.html
index e417b5544a..e5ab62b03c 100644
--- a/v2.0.2/api/smac.runhistory.encoder.log_encoder.html
+++ b/v2.0.2/api/smac.runhistory.encoder.log_encoder.html
@@ -1080,7 +1080,7 @@ 
Interfaces
 
Return type:

-
ndarray

+
ndarray

 

 
 
diff --git a/v2.0.2/api/smac.runhistory.encoder.log_scaled_encoder.html b/v2.0.2/api/smac.runhistory.encoder.log_scaled_encoder.html
index 9940b48739..b91892f8d1 100644
--- a/v2.0.2/api/smac.runhistory.encoder.log_scaled_encoder.html
+++ b/v2.0.2/api/smac.runhistory.encoder.log_scaled_encoder.html
@@ -1081,7 +1081,7 @@ 
Interfaces
 
Return type:

-
ndarray

+
ndarray

 

 
 
diff --git a/v2.0.2/api/smac.runhistory.encoder.scaled_encoder.html b/v2.0.2/api/smac.runhistory.encoder.scaled_encoder.html
index cb7fef61d2..22f30dc49d 100644
--- a/v2.0.2/api/smac.runhistory.encoder.scaled_encoder.html
+++ b/v2.0.2/api/smac.runhistory.encoder.scaled_encoder.html
@@ -1080,7 +1080,7 @@ 
Interfaces
 
Return type:

-
ndarray

+
ndarray

 

 
 
diff --git a/v2.0.2/api/smac.runhistory.encoder.sqrt_scaled_encoder.html b/v2.0.2/api/smac.runhistory.encoder.sqrt_scaled_encoder.html
index 62daef24cc..ff3e7dcf27 100644
--- a/v2.0.2/api/smac.runhistory.encoder.sqrt_scaled_encoder.html
+++ b/v2.0.2/api/smac.runhistory.encoder.sqrt_scaled_encoder.html
@@ -1081,7 +1081,7 @@ 
Interfaces
 
Return type:

-
ndarray

+
ndarray

 

 
 
diff --git a/v2.0.2/api/smac.runhistory.html b/v2.0.2/api/smac.runhistory.html
index cc81d772d3..367048eff6 100644
--- a/v2.0.2/api/smac.runhistory.html
+++ b/v2.0.2/api/smac.runhistory.html
@@ -1498,7 +1498,7 @@ 
Interfaces
 
Return type:

-
InstanceSeedKey

+
InstanceSeedKey

 

 
 
@@ -1552,7 +1552,7 @@ 
Interfaces
 
Return type:

-
bool

+
bool

 

 
 
@@ -1563,7 +1563,7 @@ 
Interfaces
 
Return type:

-
bool

+
bool

 

 
 
@@ -1574,7 +1574,7 @@ 
Interfaces
 
Return type:

-
TrialValue

+
TrialValue

 

 
 
@@ -1585,7 +1585,7 @@ 
Interfaces
 
Return type:

-
Iterator[TrialKey]

+
Iterator[TrialKey]

 

 
 
@@ -1596,7 +1596,7 @@ 
Interfaces
 
Return type:

-
int

+
int

 

 
 
@@ -1622,7 +1622,7 @@ 
InterfacesReturn type:
-
None

+
None

 

 
 
@@ -1636,7 +1636,7 @@ 
Interfaces
trial (TrialInfo) – The TrialInfo object of the running trial.

 
 
Return type:

-
None

+
None

 

 
 
@@ -1650,7 +1650,7 @@ 
Interfaces
trial (TrialInfo) – The TrialInfo object of the running trial.

 
 
Return type:

-
None

+
None

 

 
 
@@ -1713,7 +1713,7 @@ 
Interfaces
 
Return type:

-
Configuration

+
Configuration

 

 
 
@@ -1724,7 +1724,7 @@ 
Interfaces
 
Return type:

-
int

+
int

 

 
 
@@ -1886,7 +1886,7 @@ 
Interfaces
 
Return type:

-
bool

+
bool

 

 
 
@@ -1909,7 +1909,7 @@ 
InterfacesReturn type:
-
None

+
None

 

 
 
@@ -1930,7 +1930,7 @@ 
InterfacesReturn type:
-
None

+
None

 

 
 
@@ -1986,7 +1986,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -2006,7 +2006,7 @@ 
Interfaces
filename (str | Path, defaults to "runhistory.json") – 

 
 
Return type:

-
None

+
None

 

 
 
@@ -2053,7 +2053,7 @@ 
Interfaces
runhistory (RunHistory) – RunHistory with additional data to be added to self

 
 
Return type:

-
None

+
None

 

 
 
@@ -2068,7 +2068,7 @@ 
Interfaces
config (Configuration) – configuration to update cost based on all trials in runhistory

 
 
Return type:

-
None

+
None

 

 
 
@@ -2083,7 +2083,7 @@ 
Interfaces
instances (list[str] | None, defaults to none) – List of instances; if given, cost is only computed wrt to this instance set.

 
 
Return type:

-
None

+
None

 

 
 
@@ -2100,7 +2100,7 @@ 
InterfacesReturn type:
-
None

+
None

 

 
 
@@ -2135,7 +2135,7 @@ 
Interfaces
 
Return type:

-
InstanceSeedBudgetKey

+
InstanceSeedBudgetKey

 

 
 
@@ -2146,7 +2146,7 @@ 
Interfaces
 
Return type:

-
InstanceSeedKey

+
InstanceSeedKey

 

 
 
diff --git a/v2.0.2/api/smac.runhistory.runhistory.html b/v2.0.2/api/smac.runhistory.runhistory.html
index c3dcce63b0..60756202e9 100644
--- a/v2.0.2/api/smac.runhistory.runhistory.html
+++ b/v2.0.2/api/smac.runhistory.runhistory.html
@@ -1435,7 +1435,7 @@ 
Interfaces
 
Return type:

-
bool

+
bool

 

 
 
@@ -1446,7 +1446,7 @@ 
Interfaces
 
Return type:

-
bool

+
bool

 

 
 
@@ -1457,7 +1457,7 @@ 
Interfaces
 
Return type:

-
TrialValue

+
TrialValue

 

 
 
@@ -1468,7 +1468,7 @@ 
Interfaces
 
Return type:

-
Iterator[TrialKey]

+
Iterator[TrialKey]

 

 
 
@@ -1479,7 +1479,7 @@ 
Interfaces
 
Return type:

-
int

+
int

 

 
 
@@ -1505,7 +1505,7 @@ 
InterfacesReturn type:
-
None

+
None

 

 
 
@@ -1519,7 +1519,7 @@ 
Interfaces
trial (TrialInfo) – The TrialInfo object of the running trial.

 
 
Return type:

-
None

+
None

 

 
 
@@ -1533,7 +1533,7 @@ 
Interfaces
trial (TrialInfo) – The TrialInfo object of the running trial.

 
 
Return type:

-
None

+
None

 

 
 
@@ -1596,7 +1596,7 @@ 
Interfaces
 
Return type:

-
Configuration

+
Configuration

 

 
 
@@ -1607,7 +1607,7 @@ 
Interfaces
 
Return type:

-
int

+
int

 

 
 
@@ -1769,7 +1769,7 @@ 
Interfaces
 
Return type:

-
bool

+
bool

 

 
 
@@ -1792,7 +1792,7 @@ 
InterfacesReturn type:
-
None

+
None

 

 
 
@@ -1813,7 +1813,7 @@ 
InterfacesReturn type:
-
None

+
None

 

 
 
@@ -1869,7 +1869,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1889,7 +1889,7 @@ 
Interfaces
filename (str | Path, defaults to "runhistory.json") – 

 
 
Return type:

-
None

+
None

 

 
 
@@ -1936,7 +1936,7 @@ 
Interfaces
runhistory (RunHistory) – RunHistory with additional data to be added to self

 
 
Return type:

-
None

+
None

 

 
 
@@ -1951,7 +1951,7 @@ 
Interfaces
config (Configuration) – configuration to update cost based on all trials in runhistory

 
 
Return type:

-
None

+
None

 

 
 
@@ -1966,7 +1966,7 @@ 
Interfaces
instances (list[str] | None, defaults to none) – List of instances; if given, cost is only computed wrt to this instance set.

 
 
Return type:

-
None

+
None

 

 
 
@@ -1983,7 +1983,7 @@ 
InterfacesReturn type:
-
None

+
None

 

 
 
diff --git a/v2.0.2/api/smac.runner.abstract_runner.html b/v2.0.2/api/smac.runner.abstract_runner.html
index b87531efc7..9a3eedbdf3 100644
--- a/v2.0.2/api/smac.runner.abstract_runner.html
+++ b/v2.0.2/api/smac.runner.abstract_runner.html
@@ -1171,7 +1171,7 @@ 
Interfaces
 
Return type:

-
int

+
int

 

 
 
@@ -1184,7 +1184,7 @@ 
Interfaces
 
Return type:

-
bool

+
bool

 

 
 
@@ -1229,7 +1229,7 @@ 
InterfacesReturn type:
-
tuple[StatusType, float | list[float], float, dict]

+
tuple[StatusType, float | list[float], float, dict]

 

 
Returns:

 

@@ -1299,7 +1299,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
diff --git a/v2.0.2/api/smac.runner.abstract_serial_runner.html b/v2.0.2/api/smac.runner.abstract_serial_runner.html
index 9bbee71452..cc58d27e0e 100644
--- a/v2.0.2/api/smac.runner.abstract_serial_runner.html
+++ b/v2.0.2/api/smac.runner.abstract_serial_runner.html
@@ -1116,7 +1116,7 @@ 
Interfaces
 
Return type:

-
int

+
int

 

 
 
@@ -1129,7 +1129,7 @@ 
Interfaces
 
Return type:

-
bool

+
bool

 

 
 
@@ -1166,7 +1166,7 @@ 
Interfaces
trial_info (TrialInfo) – An object containing the configuration launched.

 
 
Return type:

-
None

+
None

 

 
 
@@ -1178,7 +1178,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
diff --git a/v2.0.2/api/smac.runner.dask_runner.html b/v2.0.2/api/smac.runner.dask_runner.html
index f32febb808..eb8ba24638 100644
--- a/v2.0.2/api/smac.runner.dask_runner.html
+++ b/v2.0.2/api/smac.runner.dask_runner.html
@@ -1175,7 +1175,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1186,7 +1186,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1198,7 +1198,7 @@ 
Interfaces
 
Return type:

-
int

+
int

 

 
 
@@ -1211,7 +1211,7 @@ 
Interfaces
 
Return type:

-
bool

+
bool

 

 
 
@@ -1250,7 +1250,7 @@ 
InterfacesReturn type:
-
tuple[StatusType, float | list[float], float, dict]

+
tuple[StatusType, float | list[float], float, dict]

 

 
Returns:

 

@@ -1301,7 +1301,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
diff --git a/v2.0.2/api/smac.runner.html b/v2.0.2/api/smac.runner.html
index 09a2cef4ef..2c211453b9 100644
--- a/v2.0.2/api/smac.runner.html
+++ b/v2.0.2/api/smac.runner.html
@@ -1300,7 +1300,7 @@ 
Interfaces
 
Return type:

-
int

+
int

 

 
 
@@ -1313,7 +1313,7 @@ 
Interfaces
 
Return type:

-
bool

+
bool

 

 
 
@@ -1358,7 +1358,7 @@ 
InterfacesReturn type:
-
tuple[StatusType, float | list[float], float, dict]

+
tuple[StatusType, float | list[float], float, dict]

 

 
Returns:

 

@@ -1428,7 +1428,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1477,7 +1477,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1488,7 +1488,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1500,7 +1500,7 @@ 
Interfaces
 
Return type:

-
int

+
int

 

 
 
@@ -1513,7 +1513,7 @@ 
Interfaces
 
Return type:

-
bool

+
bool

 

 
 
@@ -1552,7 +1552,7 @@ 
InterfacesReturn type:
-
tuple[StatusType, float | list[float], float, dict]

+
tuple[StatusType, float | list[float], float, dict]

 

 
Returns:

 

@@ -1603,7 +1603,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
@@ -1650,7 +1650,7 @@ 
Interfacesrun method.

 

 
Return type:

-
float | list[float] | dict[str, float] | tuple[float, dict] | tuple[list[float], dict] | tuple[dict[str, float], dict]

+
float | list[float] | dict[str, float] | tuple[float, dict] | tuple[list[float], dict] | tuple[dict[str, float], dict]

 

 

 
@@ -1684,7 +1684,7 @@ 
InterfacesReturn type:
-
tuple[StatusType, float | list[float], float, dict]

+
tuple[StatusType, float | list[float], float, dict]

 

 
Returns:

 

@@ -1146,7 +1146,7 @@ 
InterfacesReturn type:
-
tuple[StatusType, float | list[float], float, dict]

+
tuple[StatusType, float | list[float], float, dict]

 

 
Returns:

 
    
diff --git a/v2.0.2/api/smac.runner.target_function_script_runner.html b/v2.0.2/api/smac.runner.target_function_script_runner.html
index 51b779518e..a43b2a58ab 100644
--- a/v2.0.2/api/smac.runner.target_function_script_runner.html
+++ b/v2.0.2/api/smac.runner.target_function_script_runner.html
@@ -1124,7 +1124,7 @@ 
    Interfacesrun method.
    
 
    
 
    Return type:
    
-
    tuple[str, str]
    
+
    tuple[str, str]
    
 
    
 
    
 

@@ -1150,7 +1150,7 @@ 
InterfacesReturn type:
-
tuple[StatusType, float | list[float], float, dict]

+
tuple[StatusType, float | list[float], float, dict]

 

 
Returns:

 
    
diff --git a/v2.0.2/api/smac.scenario.html b/v2.0.2/api/smac.scenario.html
index 1d9b1ca466..3976d1a1df 100644
--- a/v2.0.2/api/smac.scenario.html
+++ b/v2.0.2/api/smac.scenario.html
@@ -1176,7 +1176,7 @@ 
    Interfaces
 
    Return type:
    
-
    None
    
+
    None
    
 
    
 
 

@@ -1187,7 +1187,7 @@ 
Interfaces
 
Return type:

-
int

+
int

 

 
 
@@ -1198,7 +1198,7 @@ 
Interfaces
 
Return type:

-
int

+
int

 

 
 
@@ -1209,7 +1209,7 @@ 
Interfaces
 
Return type:

-
Scenario

+
Scenario

 

 
 
@@ -1220,7 +1220,7 @@ 
Interfaces
 
Return type:

-
dict[str, Any]

+
dict[str, Any]

 

 
 
@@ -1241,7 +1241,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 
diff --git a/v2.0.2/api/smac.utils.configspace.html b/v2.0.2/api/smac.utils.configspace.html
index ce9f063f22..6eafc16ce2 100644
--- a/v2.0.2/api/smac.utils.configspace.html
+++ b/v2.0.2/api/smac.utils.configspace.html
@@ -1128,7 +1128,7 @@ 
Interfaces
 
Return type:

-
ndarray

+
ndarray

 

 
 
@@ -1139,7 +1139,7 @@ 
Interfaces
 
Return type:

-
str

+
str

 

 
 
@@ -1149,7 +1149,7 @@ 
Interfacessmac.utils.configspace.get_types(configspace, instance_features=None)[source]
 
Return the types of the hyperparameters and the bounds of the
 hyperparameters and instance features.
-:rtype: tuple[list[int], list[tuple[float, float]]]

+:rtype: tuple[list[int], list[tuple[float, float]]]

 

 
Warning

 
The bounds for the instance features are not added in this function.

@@ -1162,7 +1162,7 @@ 
Interfaces
 
Return type:

-
None

+
None

 

 
 

diff --git a/v2.0.2/api/smac.utils.data_structures.html b/v2.0.2/api/smac.utils.data_structures.html
index de9e6a77d0..d87c78008f 100644
--- a/v2.0.2/api/smac.utils.data_structures.html
+++ b/v2.0.2/api/smac.utils.data_structures.html
@@ -1077,7 +1077,7 @@ 
Interfaces
 
Return type:

-
Iterable[list]

+
Iterable[list]

 

 
 
diff --git a/v2.0.2/api/smac.utils.logging.html b/v2.0.2/api/smac.utils.logging.html
index f3d6693a52..25f303ddf1 100644
--- a/v2.0.2/api/smac.utils.logging.html
+++ b/v2.0.2/api/smac.utils.logging.html
@@ -1077,7 +1077,7 @@ 
Interfaces
 
Return type:

-
Logger

+
Logger

 

 
 
@@ -1092,7 +1092,7 @@ 
InterfacesReturn type:
-
None

+
None

 

 
 
diff --git a/v2.0.2/examples/1_basics/1_quadratic_function.html b/v2.0.2/examples/1_basics/1_quadratic_function.html
index 29595940ea..9194b8cd37 100644
--- a/v2.0.2/examples/1_basics/1_quadratic_function.html
+++ b/v2.0.2/examples/1_basics/1_quadratic_function.html
@@ -1061,7 +1061,7 @@
 

 


 

-
import numpy as np
+
import numpy as np
 from ConfigSpace import Configuration, ConfigurationSpace, Float
 from matplotlib import pyplot as plt
 
@@ -1135,17 +1135,17 @@
     plot(smac.runhistory, incumbent)
 

 

-
Total running time of the script: (0 minutes 2.986 seconds)

+
Total running time of the script: (0 minutes 2.398 seconds)

 
 
 
diff --git a/v2.0.2/examples/1_basics/2_svm_cv.html b/v2.0.2/examples/1_basics/2_svm_cv.html
index 13e988b5fa..25552a2d27 100644
--- a/v2.0.2/examples/1_basics/2_svm_cv.html
+++ b/v2.0.2/examples/1_basics/2_svm_cv.html
@@ -1316,83 +1316,83 @@
 
 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/numpy/lib/function_base.py:4655: RuntimeWarning: invalid value encountered in subtract
   diff_b_a = subtract(b, a)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
 /home/runner/work/SMAC3/SMAC3/examples/1_basics/2_svm_cv.py:57: DeprecationWarning: `Configuration` act's like a dictionary. Please use `dict(config)` instead of `get_dictionary` if you explicitly need a `dict`
   config_dict = config.get_dictionary()
@@ -1878,105 +1878,105 @@
 
 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/numpy/lib/function_base.py:4655: RuntimeWarning: invalid value encountered in subtract
   diff_b_a = subtract(b, a)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
-/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:220: RuntimeWarning: Mean of empty slice
+/opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/smac/model/random_forest/random_forest.py:222: RuntimeWarning: Mean of empty slice
   preds_as_array = np.log(np.nanmean(np.exp(preds_as_array), axis=2) + VERY_SMALL_NUMBER)
 /home/runner/work/SMAC3/SMAC3/examples/1_basics/2_svm_cv.py:57: DeprecationWarning: `Configuration` act's like a dictionary. Please use `dict(config)` instead of `get_dictionary` if you explicitly need a `dict`
   config_dict = config.get_dictionary()
@@ -2232,7 +2232,7 @@
 

 


 

-
import numpy as np
+
import numpy as np
 from ConfigSpace import Categorical, Configuration, ConfigurationSpace, Float, Integer
 from ConfigSpace.conditions import InCondition
 from sklearn import datasets, svm
@@ -2322,17 +2322,17 @@
     print(f"Incumbent cost: {incumbent_cost}")
 

 

-
Total running time of the script: (0 minutes 1.017 seconds)

+
Total running time of the script: (0 minutes 0.788 seconds)

 
 
 
diff --git a/v2.0.2/examples/1_basics/3_ask_and_tell.html b/v2.0.2/examples/1_basics/3_ask_and_tell.html
index 637f26260c..355e70ae12 100644
--- a/v2.0.2/examples/1_basics/3_ask_and_tell.html
+++ b/v2.0.2/examples/1_basics/3_ask_and_tell.html
@@ -1031,27 +1031,25 @@
 [INFO][abstract_intensifier.py:515] Added config 38310a as new incumbent because there are no incumbents yet.
 [INFO][abstract_intensifier.py:594] Added config a840bc and rejected config 38310a as incumbent because it is not better than the incumbents on 1 instances:
 [INFO][abstract_intensifier.py:594] Added config e8ddec and rejected config a840bc as incumbent because it is not better than the incumbents on 1 instances:
-[INFO][abstract_intensifier.py:594] Added config a9b60d and rejected config e8ddec as incumbent because it is not better than the incumbents on 1 instances:
-[INFO][abstract_intensifier.py:594] Added config 96f88f and rejected config a9b60d as incumbent because it is not better than the incumbents on 1 instances:
-[INFO][abstract_intensifier.py:594] Added config 0d4e03 and rejected config 96f88f as incumbent because it is not better than the incumbents on 1 instances:
+[INFO][abstract_intensifier.py:594] Added config e74ba7 and rejected config e8ddec as incumbent because it is not better than the incumbents on 1 instances:
 [INFO][smbo.py:319] Finished 50 trials.
-[INFO][abstract_intensifier.py:594] Added config 737ab9 and rejected config 0d4e03 as incumbent because it is not better than the incumbents on 1 instances:
-[INFO][abstract_intensifier.py:594] Added config eeebb9 and rejected config 737ab9 as incumbent because it is not better than the incumbents on 1 instances:
-[INFO][abstract_intensifier.py:594] Added config 6d9074 and rejected config eeebb9 as incumbent because it is not better than the incumbents on 1 instances:
-[INFO][abstract_intensifier.py:594] Added config a0e706 and rejected config 6d9074 as incumbent because it is not better than the incumbents on 1 instances:
+[INFO][abstract_intensifier.py:594] Added config 1eebbc and rejected config e74ba7 as incumbent because it is not better than the incumbents on 1 instances:
+[INFO][abstract_intensifier.py:594] Added config f01c34 and rejected config 1eebbc as incumbent because it is not better than the incumbents on 1 instances:
+[INFO][abstract_intensifier.py:594] Added config 1df946 and rejected config f01c34 as incumbent because it is not better than the incumbents on 1 instances:
+[INFO][abstract_intensifier.py:594] Added config 535c5d and rejected config 1df946 as incumbent because it is not better than the incumbents on 1 instances:
 [INFO][smbo.py:319] Finished 100 trials.
 [INFO][smbo.py:327] Configuration budget is exhausted:
 [INFO][smbo.py:328] --- Remaining wallclock time: inf
 [INFO][smbo.py:329] --- Remaining cpu time: inf
 [INFO][smbo.py:330] --- Remaining trials: 0
 Default cost: 16916.0
-Incumbent cost: 0.8499771879028607
+Incumbent cost: 1.1183978687059386
 

 

 

 


 

-
from ConfigSpace import Configuration, ConfigurationSpace, Float
+
from ConfigSpace import Configuration, ConfigurationSpace, Float
 
 from smac import HyperparameterOptimizationFacade, Scenario
 from smac.runhistory.dataclasses import TrialValue
@@ -1127,17 +1125,17 @@
     print(f"Incumbent cost: {incumbent_cost}")
 

 

-
Total running time of the script: (0 minutes 3.533 seconds)

+
Total running time of the script: (0 minutes 2.636 seconds)

 
 
 
diff --git a/v2.0.2/examples/1_basics/4_callback.html b/v2.0.2/examples/1_basics/4_callback.html
index f15a0deef2..6920411952 100644
--- a/v2.0.2/examples/1_basics/4_callback.html
+++ b/v2.0.2/examples/1_basics/4_callback.html
@@ -1059,7 +1059,7 @@
 

 


 

-
from __future__ import annotations
+
from __future__ import annotations
 
 from ConfigSpace import Configuration, ConfigurationSpace, Float
 
@@ -1133,17 +1133,17 @@
     ).optimize()
 

 

-
Total running time of the script: (0 minutes 0.180 seconds)

+
Total running time of the script: (0 minutes 0.147 seconds)

 
 
 
diff --git a/v2.0.2/examples/1_basics/5_continue.html b/v2.0.2/examples/1_basics/5_continue.html
index 29aed4f3d5..2e2a2681eb 100644
--- a/v2.0.2/examples/1_basics/5_continue.html
+++ b/v2.0.2/examples/1_basics/5_continue.html
@@ -1069,7 +1069,7 @@
 

 


 

-
from __future__ import annotations
+
from __future__ import annotations
 
 from ConfigSpace import Configuration, ConfigurationSpace, Float
 
@@ -1155,17 +1155,17 @@
     print(f"Incumbent cost of continued run: {incumbent_cost}")
 

 

-
Total running time of the script: (0 minutes 0.982 seconds)

+
Total running time of the script: (0 minutes 0.814 seconds)

 
 
 
diff --git a/v2.0.2/examples/1_basics/6_priors.html b/v2.0.2/examples/1_basics/6_priors.html
index 20e23af656..a5db9c13c6 100644
--- a/v2.0.2/examples/1_basics/6_priors.html
+++ b/v2.0.2/examples/1_basics/6_priors.html
@@ -1037,21 +1037,21 @@
 [WARNING][prior_acqusition_function.py:107] Discretizing the prior for random forest models.
 [INFO][abstract_intensifier.py:515] Added config 7ec7fe as new incumbent because there are no incumbents yet.
 [INFO][abstract_intensifier.py:594] Added config 6acb23 and rejected config 7ec7fe as incumbent because it is not better than the incumbents on 1 instances:
-[INFO][abstract_intensifier.py:594] Added config 95309e and rejected config 6acb23 as incumbent because it is not better than the incumbents on 1 instances:
-[INFO][abstract_intensifier.py:594] Added config 87ba17 and rejected config 95309e as incumbent because it is not better than the incumbents on 1 instances:
-[INFO][abstract_intensifier.py:594] Added config a3d1bd and rejected config 87ba17 as incumbent because it is not better than the incumbents on 1 instances:
+[INFO][abstract_intensifier.py:594] Added config 37a8e7 and rejected config 6acb23 as incumbent because it is not better than the incumbents on 1 instances:
+[INFO][abstract_intensifier.py:594] Added config 5b96ec and rejected config 37a8e7 as incumbent because it is not better than the incumbents on 1 instances:
+[INFO][abstract_intensifier.py:594] Added config 35cf09 and rejected config 5b96ec as incumbent because it is not better than the incumbents on 1 instances:
 [INFO][smbo.py:327] Configuration budget is exhausted:
 [INFO][smbo.py:328] --- Remaining wallclock time: inf
 [INFO][smbo.py:329] --- Remaining cpu time: inf
 [INFO][smbo.py:330] --- Remaining trials: 0
 Default cost: 0.038952336737852145
-Default cost: 0.026719281956050667
+Default cost: 0.02727174249458364
 

 

 

 


 

-
import warnings
+
import warnings
 
 import numpy as np
 from ConfigSpace import (
@@ -1212,17 +1212,17 @@
     print(f"Default cost: {incumbent_cost}")
 

 

-
Total running time of the script: (0 minutes 29.828 seconds)

+
Total running time of the script: (0 minutes 24.000 seconds)

 
 
 
diff --git a/v2.0.2/examples/1_basics/sg_execution_times.html b/v2.0.2/examples/1_basics/sg_execution_times.html
index 2b54796355..16e0402fec 100644
--- a/v2.0.2/examples/1_basics/sg_execution_times.html
+++ b/v2.0.2/examples/1_basics/sg_execution_times.html
@@ -1019,35 +1019,54 @@
                 
   

 
Computation times

-
00:38.526 total execution time for examples_1_basics files:

-
-
-
-
-
+
00:30.783 total execution time for 6 files from examples/1_basics:

+

+
+
+
+
+
User Priors over the Optimum (6_priors.py)
00:29.828
0.0 MB

+
+
+
+
-
-
-
+
+
+
+
+
-
-
-
+
+
+
-
-
-
+
+
+
-
-
+
+
-
-
-
+
+
+
+
+
+
+
Example
Time
Mem (MB)

 
Ask-and-Tell (3_ask_and_tell.py)
00:03.533
0.0 MB
User Priors over the Optimum (6_priors.py)
00:24.000
0.0

 
Quadratic Function (1_quadratic_function.py)
00:02.986
0.0 MB
Ask-and-Tell (3_ask_and_tell.py)
00:02.636
0.0

 
Support Vector Machine with Cross-Validation (2_svm_cv.py)
00:01.017
0.0 MB
Quadratic Function (1_quadratic_function.py)
00:02.398
0.0

 

 
Continue an Optimization (5_continue.py)
00:00.982
0.0 MB
00:00.814
0.0

 
Custom Callback (4_callback.py)
00:00.180
0.0 MB
Support Vector Machine with Cross-Validation (2_svm_cv.py)
00:00.788
0.0
Custom Callback (4_callback.py)
00:00.147
0.0

 

 
 

+

 
 
 
diff --git a/v2.0.2/examples/2_multi_fidelity/1_mlp_epochs.html b/v2.0.2/examples/2_multi_fidelity/1_mlp_epochs.html
index b6a75ad6a0..a48a573fc8 100644
--- a/v2.0.2/examples/2_multi_fidelity/1_mlp_epochs.html
+++ b/v2.0.2/examples/2_multi_fidelity/1_mlp_epochs.html
@@ -1056,22 +1056,21 @@
 [INFO][smbo.py:319] Finished 0 trials.
 [INFO][smbo.py:319] Finished 0 trials.
 [INFO][smbo.py:319] Finished 50 trials.
-[INFO][smbo.py:319] Finished 50 trials.
 [INFO][abstract_intensifier.py:515] Added config 72f7f7 as new incumbent because there are no incumbents yet.
 [INFO][abstract_intensifier.py:594] Added config 9d67d8 and rejected config 72f7f7 as incumbent because it is not better than the incumbents on 1 instances:
-[INFO][smbo.py:319] Finished 100 trials.
-[INFO][abstract_intensifier.py:594] Added config 9cf2fd and rejected config 9d67d8 as incumbent because it is not better than the incumbents on 1 instances:
+[INFO][abstract_intensifier.py:594] Added config 67ee32 and rejected config 9d67d8 as incumbent because it is not better than the incumbents on 1 instances:
+[INFO][smbo.py:319] Finished 150 trials.
 [INFO][smbo.py:327] Configuration budget is exhausted:
-[INFO][smbo.py:328] --- Remaining wallclock time: -0.018138885498046875
+[INFO][smbo.py:328] --- Remaining wallclock time: -0.1092691421508789
 [INFO][smbo.py:329] --- Remaining cpu time: inf
-[INFO][smbo.py:330] --- Remaining trials: 386
+[INFO][smbo.py:330] --- Remaining trials: 319
 Default cost (SuccessiveHalving): 0.36672856700711853
 Incumbent cost (SuccessiveHalving): 0.017254719900959392
 [INFO][abstract_initial_design.py:82] Using `n_configs` and ignoring `n_configs_per_hyperparameter`.
 [INFO][abstract_facade.py:200] Workers are reduced to 8.
 /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/distributed/node.py:182: UserWarning: Port 8787 is already in use.
 Perhaps you already have a cluster running?
-Hosting the HTTP server on port 44837 instead
+Hosting the HTTP server on port 40831 instead
   warnings.warn(
 [INFO][abstract_initial_design.py:147] Using 5 initial design configurations and 0 additional configurations.
 [INFO][successive_halving.py:164] Successive Halving uses budget type BUDGETS with eta 3, min budget 1, and max budget 25.
@@ -1095,9 +1094,9 @@
 [INFO][abstract_intensifier.py:594] Added config efc781 and rejected config ceb3eb as incumbent because it is not better than the incumbents on 1 instances:
 [INFO][abstract_intensifier.py:594] Added config 9d67d8 and rejected config efc781 as incumbent because it is not better than the incumbents on 1 instances:
 [INFO][smbo.py:327] Configuration budget is exhausted:
-[INFO][smbo.py:328] --- Remaining wallclock time: -1.565629482269287
+[INFO][smbo.py:328] --- Remaining wallclock time: -0.7150156497955322
 [INFO][smbo.py:329] --- Remaining cpu time: inf
-[INFO][smbo.py:330] --- Remaining trials: 417
+[INFO][smbo.py:330] --- Remaining trials: 393
 Default cost (Hyperband): 0.36672856700711853
 Incumbent cost (Hyperband): 0.0178087279480037
 

@@ -1105,7 +1104,7 @@
 

 


 

-
import warnings
+
import warnings
 
 import matplotlib.pyplot as plt
 import numpy as np
@@ -1270,17 +1269,17 @@
     plot_trajectory(facades)
 

 

-
Total running time of the script: (2 minutes 35.449 seconds)

+
Total running time of the script: (2 minutes 28.424 seconds)

 
 
 
diff --git a/v2.0.2/examples/2_multi_fidelity/2_sgd_datasets.html b/v2.0.2/examples/2_multi_fidelity/2_sgd_datasets.html
index cda534e7c6..f07104113a 100644
--- a/v2.0.2/examples/2_multi_fidelity/2_sgd_datasets.html
+++ b/v2.0.2/examples/2_multi_fidelity/2_sgd_datasets.html
@@ -1056,18 +1056,21 @@
 [INFO][smbo.py:319] Finished 200 trials.
 [INFO][smbo.py:319] Finished 250 trials.
 [INFO][smbo.py:319] Finished 300 trials.
+[INFO][smbo.py:319] Finished 350 trials.
+[INFO][abstract_intensifier.py:594] Added config 3c910e and rejected config 884840 as incumbent because it is not better than the incumbents on 45 instances:
+[INFO][smbo.py:319] Finished 400 trials.
 [INFO][smbo.py:327] Configuration budget is exhausted:
-[INFO][smbo.py:328] --- Remaining wallclock time: -0.05354905128479004
+[INFO][smbo.py:328] --- Remaining wallclock time: -0.015347719192504883
 [INFO][smbo.py:329] --- Remaining cpu time: inf
-[INFO][smbo.py:330] --- Remaining trials: 4664
+[INFO][smbo.py:330] --- Remaining trials: 4561
 Default cost: 0.15489347419148672
-Incumbent cost: 0.006249006102246613
+Incumbent cost: 0.005937605060508486
 

 

 

 


 

-
from __future__ import annotations
+
from __future__ import annotations
 
 import itertools
 import warnings
@@ -1193,17 +1196,17 @@
     print(f"Incumbent cost: {incumbent_cost}")
 

 

-
Total running time of the script: (0 minutes 38.110 seconds)

+
Total running time of the script: (0 minutes 35.078 seconds)

 
 
 
diff --git a/v2.0.2/examples/2_multi_fidelity/sg_execution_times.html b/v2.0.2/examples/2_multi_fidelity/sg_execution_times.html
index 8018b65d0b..5be53b5205 100644
--- a/v2.0.2/examples/2_multi_fidelity/sg_execution_times.html
+++ b/v2.0.2/examples/2_multi_fidelity/sg_execution_times.html
@@ -1019,19 +1019,38 @@
                 
   

 
Computation times

-
03:13.559 total execution time for examples_2_multi_fidelity files:

-
+
03:03.502 total execution time for 2 files from examples/2_multi_fidelity:

+

+
+
+
+
+

+
+
+
+
+
+
-
-
-
+
+
+
-
-
-
+
+
+
Example
Time
Mem (MB)

 
Multi-Layer Perceptron Using Multiple Epochs (1_mlp_epochs.py)
02:35.449
0.0 MB
Multi-Layer Perceptron Using Multiple Epochs (1_mlp_epochs.py)
02:28.424
0.0

 
Stochastic Gradient Descent On Multiple Datasets (2_sgd_datasets.py)
00:38.110
0.0 MB
Stochastic Gradient Descent On Multiple Datasets (2_sgd_datasets.py)
00:35.078
0.0

 

 
 

+

 
 
 
diff --git a/v2.0.2/examples/3_multi_objective/1_schaffer.html b/v2.0.2/examples/3_multi_objective/1_schaffer.html
index 7d2eb91edc..d52c747619 100644
--- a/v2.0.2/examples/3_multi_objective/1_schaffer.html
+++ b/v2.0.2/examples/3_multi_objective/1_schaffer.html
@@ -1170,158 +1170,158 @@
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
 [INFO][abstract_intensifier.py:602] Config 00947e is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 7e03ee is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 623aaa is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
 [INFO][abstract_intensifier.py:602] Config e7652a is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 5f1f68 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config c17b3b is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
 [INFO][abstract_intensifier.py:602] Config c9a4ab is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 26907e is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config c78bba is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
 [INFO][abstract_intensifier.py:602] Config f523f5 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 940870 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config d5d9b3 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config f21a6e is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 050956 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
 [INFO][abstract_intensifier.py:602] Config 04cf46 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config e3e1fc is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config cd933e is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
+[INFO][abstract_intensifier.py:602] Config 6a4a47 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
 [INFO][abstract_intensifier.py:602] Config 7cab7f is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 4abdbb is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config a882a8 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 65680c is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config cfe943 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 257ec9 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 161437 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 0ffa3c is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config eb7876 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 3e7b8c is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 257ec9 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config b61ca9 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 0038ea is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 1e70ce is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config b779c7 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
 [INFO][abstract_intensifier.py:602] Config 9621a8 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
 [INFO][abstract_intensifier.py:602] Config 26d5a4 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config aa878c is a new incumbent. Total number of incumbents: 11.
-[INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config c40c4c is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config fff544 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config a88778 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config ea6007 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 6e1528 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 850574 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 0e4ddc is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 405f05 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 8ae00c is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 016225 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
 [INFO][smbo.py:319] Finished 100 trials.
-[INFO][abstract_intensifier.py:602] Config 2fb8e3 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config c6f7e7 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 313866 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config b62dbe is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 9a849e is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 5b4ebd is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config bf6ee6 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config dff21b is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 1c3721 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config c13f17 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config d6acb8 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config ef6d00 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 2e23af is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 4051b5 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config d2a8ac is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 03d947 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 49eabf is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config d2a8ac is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 17755d is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 4ee072 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
 [INFO][abstract_intensifier.py:602] Config e4515e is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 3c0836 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config a241bb is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 657da4 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config c2b5f5 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 75e08e is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 2b4703 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 9ec620 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 1d3f71 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 1b701e is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 09c690 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 38990f is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 980177 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 9adac9 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 18b4fb is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 9b50d4 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 5889c8 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config eb89b7 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 38990f is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 299174 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config af00a5 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 2ff038 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 6ea6dc is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 4d31e6 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config caf420 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config c00b70 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config be6467 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 04b3b4 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config a2cbcd is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 4c851f is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config f3c58a is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 1d8cc2 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 31cac4 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 74b413 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 04b3b4 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config ce98d7 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 62390f is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 6635ed is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config f4d7f6 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 5448e7 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config e6e911 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 0f10d0 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 46a579 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 409930 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 973900 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 39f1ae is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 818cbb is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 02e0b8 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 7c3c4a is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 5ebade is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 6582db is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 0b0993 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config d6935c is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config cd13ee is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config cd4c2b is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 04173b is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config dd5f9b is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 8d020c is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 8cae70 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 90b0e6 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 759585 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config b5b43a is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 470bcf is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 6ef076 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 36943e is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 174106 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 624738 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config c5f14e is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 0d9f14 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 5c0b56 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 2f3430 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 2b710a is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 2215da is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 6a9164 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 80f804 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config a37eca is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config 9ceac5 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
-[INFO][abstract_intensifier.py:602] Config 29ed99 is a new incumbent. Total number of incumbents: 11.
+[INFO][abstract_intensifier.py:602] Config b49511 is a new incumbent. Total number of incumbents: 11.
 [INFO][abstract_intensifier.py:627] Removed one incumbent using crowding distance because more than 10 are available.
 [INFO][smbo.py:319] Finished 150 trials.
 [INFO][smbo.py:327] Configuration budget is exhausted:
@@ -1334,21 +1334,21 @@
 
 Validated costs from the Pareto front (incumbents):
 --- [0.01538581 3.51922763]
---- [3.81477017e+00 2.19551629e-03]
+--- [3.98157338e+00 2.12703017e-05]
 --- [0.66494111 1.40318427]
---- [0.28063773 2.16162765]
---- [1.21948125 0.80227625]
+--- [0.27572929 2.17533202]
+--- [1.23793885 0.78743083]
 --- [0.09228592 2.87714199]
 --- [3.16368713 0.04898446]
---- [2.51598724 0.17124171]
---- [1.60303937 0.53859173]
---- [2.0255363  0.33268282]
+--- [2.5425014  0.16441216]
+--- [1.56462636 0.56122534]
+--- [2.01575389 0.33666398]
 

 

 

 


 

-
from __future__ import annotations
+
from __future__ import annotations
 
 from typing import Dict, Tuple
 
@@ -1446,17 +1446,17 @@
     plot_from_smac(smac)
 

 

-
Total running time of the script: (0 minutes 12.196 seconds)

+
Total running time of the script: (0 minutes 8.490 seconds)

 
 
 
diff --git a/v2.0.2/examples/3_multi_objective/2_parego.html b/v2.0.2/examples/3_multi_objective/2_parego.html
index 18fdd9f33f..0a67180058 100644
--- a/v2.0.2/examples/3_multi_objective/2_parego.html
+++ b/v2.0.2/examples/3_multi_objective/2_parego.html
@@ -1035,26 +1035,34 @@
 [INFO][abstract_initial_design.py:147] Using 5 initial design configurations and 0 additional configurations.
 [INFO][abstract_intensifier.py:515] Added config 3623cc as new incumbent because there are no incumbents yet.
 [INFO][abstract_intensifier.py:602] Config 540db2 is a new incumbent. Total number of incumbents: 2.
-[INFO][abstract_intensifier.py:602] Config 3b5efd is a new incumbent. Total number of incumbents: 3.
-[INFO][abstract_intensifier.py:594] Added config edca48 and rejected config 503b4b as incumbent because it is not better than the incumbents on 2 instances:
-[INFO][abstract_intensifier.py:602] Config 99f86d is a new incumbent. Total number of incumbents: 3.
+[INFO][abstract_intensifier.py:602] Config 0c9159 is a new incumbent. Total number of incumbents: 3.
+[INFO][abstract_intensifier.py:602] Config f81150 is a new incumbent. Total number of incumbents: 3.
+[INFO][abstract_intensifier.py:594] Added config 9fd03c and rejected config f81150 as incumbent because it is not better than the incumbents on 2 instances:
+[INFO][abstract_intensifier.py:602] Config b92f9f is a new incumbent. Total number of incumbents: 4.
+[INFO][abstract_intensifier.py:594] Added config 2895a7 and rejected config 3b5efd as incumbent because it is not better than the incumbents on 2 instances:
+[INFO][abstract_intensifier.py:594] Added config 978294 and rejected config 9fd03c as incumbent because it is not better than the incumbents on 2 instances:
+[INFO][abstract_intensifier.py:602] Config 1b01ec is a new incumbent. Total number of incumbents: 4.
+[INFO][abstract_intensifier.py:602] Config 8dcd94 is a new incumbent. Total number of incumbents: 4.
+[INFO][abstract_intensifier.py:602] Config ce1565 is a new incumbent. Total number of incumbents: 5.
 [INFO][smbo.py:327] Configuration budget is exhausted:
-[INFO][smbo.py:328] --- Remaining wallclock time: -0.006031036376953125
+[INFO][smbo.py:328] --- Remaining wallclock time: -0.3699915409088135
 [INFO][smbo.py:329] --- Remaining cpu time: inf
-[INFO][smbo.py:330] --- Remaining trials: 173
+[INFO][smbo.py:330] --- Remaining trials: 156
 Validated costs from default config:
---- [0.60155834 0.23677588]
+--- [0.60155834 0.21888936]
 
 Validated costs from the Pareto front (incumbents):
---- [0.88924791 0.32734382]
---- [0.03033736 0.61645281]
---- [0.02949783 0.78047216]
+--- [0.02421    0.52604556]
+--- [0.03589601 0.37584984]
+--- [0.14135562 0.18027866]
+--- [0.07067858 0.23799729]
+--- [0.05119468 0.32414722]
 

 

 

 


 

-
from __future__ import annotations
+
from __future__ import annotations
 
 import time
 import warnings
@@ -1222,17 +1230,17 @@
     plot_pareto(smac, incumbents)
 

 

-
Total running time of the script: (0 minutes 34.152 seconds)

+
Total running time of the script: (0 minutes 34.296 seconds)

 
 
 
diff --git a/v2.0.2/examples/3_multi_objective/sg_execution_times.html b/v2.0.2/examples/3_multi_objective/sg_execution_times.html
index c78a9c86f5..b952a18a7f 100644
--- a/v2.0.2/examples/3_multi_objective/sg_execution_times.html
+++ b/v2.0.2/examples/3_multi_objective/sg_execution_times.html
@@ -1019,19 +1019,38 @@
                 
   

 
Computation times

-
00:46.348 total execution time for examples_3_multi_objective files:

-
+
00:42.785 total execution time for 2 files from examples/3_multi_objective:

+

+
+
+
+
+

+
+
+
+
+
+
-
-
-
+
+
+
-
-
-
+
+
+
Example
Time
Mem (MB)

 
ParEGO (2_parego.py)
00:34.152
0.0 MB
ParEGO (2_parego.py)
00:34.296
0.0

 
2D Schaffer Function with Objective Weights (1_schaffer.py)
00:12.196
0.0 MB
2D Schaffer Function with Objective Weights (1_schaffer.py)
00:08.490
0.0

 

 
 

+

 
 
 
diff --git a/v2.0.2/examples/5_commandline/1_call_target_function_script.html b/v2.0.2/examples/5_commandline/1_call_target_function_script.html
index 02f96ff3e7..ef2b19e0a6 100644
--- a/v2.0.2/examples/5_commandline/1_call_target_function_script.html
+++ b/v2.0.2/examples/5_commandline/1_call_target_function_script.html
@@ -1067,7 +1067,7 @@
 

 


 

-
from ConfigSpace import ConfigurationSpace
+
from ConfigSpace import ConfigurationSpace
 
 from smac import BlackBoxFacade, Scenario
 
@@ -1098,17 +1098,17 @@
     print(f"Incumbent cost: {incumbent_cost}")
 

 

-
Total running time of the script: (0 minutes 5.831 seconds)

+
Total running time of the script: (0 minutes 3.944 seconds)

 
 
 
diff --git a/v2.0.2/examples/5_commandline/sg_execution_times.html b/v2.0.2/examples/5_commandline/sg_execution_times.html
index fab072e171..bdf8a6cb81 100644
--- a/v2.0.2/examples/5_commandline/sg_execution_times.html
+++ b/v2.0.2/examples/5_commandline/sg_execution_times.html
@@ -1019,15 +1019,34 @@
                 
   

 
Computation times

-
00:05.831 total execution time for examples_5_commandline files:

-
+
00:03.944 total execution time for 1 file from examples/5_commandline:

+

+
+
+
+
+

+
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+    © Copyright 
+    Copyright 2023, Marius Lindauer, Katharina Eggensperger,
+    Matthias Feurer, André Biedenkapp, Difan Deng, Carolin Benjamins, Tim Ruhkopf, René Sass
+    and Frank Hutter.

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+Created using Sphinx
+7.2.6. Template is modified version of PyData Sphinx Theme. 

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135, 138, 139, 143], "common": [0, 3, 113, 114, 116, 135], "updat": [0, 1, 13, 18, 24, 25, 39, 40, 42, 43, 49, 57, 58, 64, 89, 90, 92, 98, 112, 134], "build": [0, 1, 131, 135, 138, 139], "essenti": [0, 39, 40], "swig": [0, 1], "conda": 0, "gxx_linux": [0, 1], "64": [0, 1, 32, 37], "gcc_linux": [0, 1], "curl": 0, "http": [0, 1, 6, 9, 24, 28, 50, 54, 56, 89, 92, 126, 138, 151], "raw": 0, "githubusercont": 0, "com": [0, 1, 126, 151], "automl": [0, 1, 8, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146, 151], "smac3": [0, 1, 8, 131, 133, 151], "master": 0, "requir": [0, 3, 8, 13, 14, 21, 24, 25, 29, 31, 32, 34, 57, 61, 63, 85, 87, 98, 112, 113, 114, 118, 119, 120, 139], "txt": 0, "xarg": 0, "n": [0, 1, 6, 24, 25, 28, 31, 57, 60, 63, 67, 69, 77, 79, 113, 116, 123, 142, 143], "l": [0, 6], "pip": [0, 1], "written": [1, 57, 58, 151], "python3": [1, 131, 138, 151], "therefor": [1, 3, 7, 13, 42, 49, 71, 72, 120, 138, 143], "8": [1, 3, 12, 13, 42, 43, 45, 57, 61, 63, 85, 87, 131, 135, 138, 142, 143, 146, 151], "furthermor": [1, 57, 58, 133], "random": [1, 3, 7, 22, 24, 29, 32, 33, 35, 36, 38, 42, 43, 44, 45, 46, 47, 48, 49, 50, 55, 57, 58, 60, 61, 65, 66, 85, 86, 87, 88, 93, 94, 95, 96, 97, 120, 131, 135, 138, 143, 151], "forest": [1, 3, 7, 13, 24, 29, 32, 36, 42, 44, 47, 65, 66, 85, 86, 87, 131, 135, 151], "us": [1, 2, 3, 4, 7, 8, 9, 11, 13, 14, 15, 16, 18, 19, 21, 24, 25, 29, 31, 32, 33, 34, 35, 36, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 71, 72, 77, 78, 79, 81, 83, 84, 85, 87, 93, 95, 96, 97, 98, 99, 100, 101, 105, 106, 107, 109, 112, 113, 114, 116, 118, 119, 120, 122, 123, 124, 130, 131, 132, 133, 134, 135, 139, 140, 141, 142, 143, 146, 147, 149, 151], "depend": [1, 2, 3, 8, 12, 13, 18, 22, 42, 45, 65, 66, 89, 90, 113, 117, 120, 131], "either": [1, 3, 8, 42, 43, 67, 77, 98, 112, 113, 118], "system": 1, "directli": [1, 3, 13, 14, 15, 18, 113, 118], "The": [1, 2, 3, 4, 7, 8, 10, 12, 13, 14, 15, 18, 19, 20, 21, 24, 25, 32, 33, 34, 36, 42, 43, 44, 45, 47, 49, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 71, 72, 77, 78, 79, 80, 83, 84, 85, 87, 93, 94, 96, 98, 99, 100, 101, 112, 113, 114, 115, 116, 118, 119, 120, 122, 126, 130, 132, 138, 142, 143, 151], "machin": [1, 4, 24, 28, 136, 137, 149, 151], "follow": [1, 2, 3, 4, 8, 12, 13, 15, 16, 18, 20, 42, 49, 57, 60, 61, 85, 87, 113, 114, 116, 119, 146, 151], "mac": [1, 8], "9": [1, 32, 34, 138, 139, 142, 151], "10": [1, 3, 7, 20, 24, 29, 32, 36, 37, 42, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 58, 59, 60, 61, 67, 69, 85, 87, 130, 131, 132, 133, 134, 135, 138, 142, 143, 151], "we": [1, 3, 7, 8, 13, 15, 16, 18, 22, 24, 31, 32, 33, 42, 43, 49, 57, 58, 61, 63, 64, 67, 77, 79, 113, 114, 116, 118, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146, 149, 151], "recommend": [1, 8, 12, 13, 18, 22], "activ": [1, 8, 71, 72, 113, 116, 135, 138, 143], "haven": 1, "t": [1, 3, 8, 24, 26, 27, 30, 31, 71, 72, 134], "yet": [1, 8, 57, 61, 130, 131, 132, 134, 135, 138, 139, 142, 143, 146], "insid": [1, 13, 21, 133], "now": [1, 15, 130, 131, 132, 133, 134, 139, 146], "pypi": 1, "Or": [1, 15], "altern": [1, 15, 131, 139], "clone": 1, "from": [1, 2, 3, 4, 8, 10, 13, 18, 19, 20, 32, 33, 34, 36, 42, 43, 49, 50, 51, 57, 58, 60, 61, 63, 64, 67, 69, 71, 72, 79, 98, 112, 113, 114, 116, 118, 119, 120, 126, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 147, 148, 149], "github": [1, 8, 50, 56, 126, 151], "git": 1, "dev": 1, "channel": 1, "achiev": [1, 3], "ad": [1, 13, 39, 40, 57, 58, 60, 61, 71, 72, 98, 112, 122, 130, 131, 132, 134, 135, 138, 139, 142, 143, 146], "config": [1, 3, 4, 7, 13, 39, 40, 42, 43, 48, 50, 51, 57, 58, 60, 61, 63, 64, 98, 99, 110, 112, 113, 114, 116, 118, 119, 120, 122, 126, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146], "add": [1, 8, 13, 16, 42, 43, 44, 45, 47, 48, 49, 50, 51, 57, 60, 61, 64, 98, 112, 131, 135, 138, 139, 143], "set": [1, 2, 6, 8, 10, 13, 18, 19, 42, 45, 46, 47, 48, 49, 50, 51, 57, 58, 59, 60, 61, 64, 93, 95, 97, 98, 112, 113, 118, 120, 124, 125, 131, 134, 135, 142, 143, 146], "channel_prior": 1, "strict": 1, "must": [1, 3, 18, 32, 33, 35, 42, 44, 45, 47, 49, 65, 66, 71, 72, 78, 79, 80, 83, 84, 89, 91, 113, 118, 119, 120, 138], "have": [1, 7, 8, 9, 10, 13, 14, 15, 17, 18, 21, 32, 36, 42, 43, 49, 57, 58, 63, 64, 98, 99, 112, 113, 114, 115, 116, 118, 132, 135, 138, 139, 143], "4": [1, 2, 13, 18, 42, 44, 57, 61, 119, 130, 132, 133, 135, 138, 139, 142], "To": [1, 8, 10, 13, 16, 113, 116, 134, 135, 138], "current": [1, 7, 10, 13, 21, 24, 25, 27, 28, 32, 33, 42, 43, 49, 57, 58, 59, 60, 61, 64, 67, 69, 93, 97, 98, 99, 100, 101, 112, 133], "instruct": 1, "offici": 1, "document": [1, 3, 32, 34, 57, 59], "onc": [1, 13, 21, 32, 37, 42, 46, 48, 49, 57, 61, 135, 138, 143], "enabl": [1, 18, 42, 44, 47, 85, 87, 98, 112], "read": [1, 10, 22, 98, 112, 134], "feedstock": 1, "more": [1, 3, 7, 12, 13, 15, 19, 22, 42, 48, 57, 58, 60, 113, 114, 116, 131, 142], "detail": [1, 3, 7, 24, 28, 29, 42, 48, 138], "find": [1, 2, 3, 4, 7, 13, 32, 34, 57, 58, 63, 130, 131, 132, 133, 134, 146], "how": [1, 7, 8, 13, 14, 15, 18, 20, 22, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 60, 61, 63, 64, 98, 99, 112, 113, 114, 116, 119, 123, 132, 138, 142, 143, 146, 149], "do": [1, 10, 13, 15, 16, 18, 20, 24, 31, 42, 43, 49, 64, 113, 114, 116, 118, 134, 135, 146], "here": [1, 3, 8, 13, 19, 24, 31, 57, 58, 63, 130, 134, 135, 139, 146, 151], "howev": [1, 3, 7, 8, 13, 15, 17, 18, 22, 42, 43, 57, 61, 63, 119, 142], "support": [2, 3, 4, 13, 21, 42, 44, 46, 48, 57, 58, 60, 61, 71, 72, 136, 137, 149], "determin": [2, 8, 14, 42, 43, 57, 58, 67, 71, 72, 77, 115], "well": [2, 13, 17, 24, 29, 113, 114, 131, 132, 135], "perform": [2, 3, 7, 8, 13, 14, 18, 32, 36, 37, 42, 43, 44, 46, 47, 48, 49, 57, 58, 61, 64, 85, 87, 98, 112, 113, 114, 120, 124, 139, 151], "hyperparamet": [2, 3, 4, 6, 7, 13, 18, 24, 28, 29, 32, 36, 42, 43, 45, 47, 48, 50, 51, 65, 66, 67, 69, 71, 72, 73, 77, 78, 79, 83, 84, 85, 87, 122, 130, 131, 132, 133, 134, 135, 138, 143, 146, 151], "configur": [2, 4, 7, 8, 12, 15, 17, 18, 22, 24, 25, 32, 33, 35, 36, 38, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 55, 57, 58, 60, 61, 63, 64, 78, 79, 83, 93, 94, 95, 96, 97, 98, 99, 100, 101, 112, 113, 114, 115, 116, 118, 119, 120, 122, 124, 126, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146, 151], "algorithm": [2, 3, 6, 7, 8, 14, 15, 22, 24, 28, 32, 34, 42, 43, 44, 45, 46, 47, 49, 57, 58, 98, 100, 101, 112, 113, 114, 118, 119, 126, 131, 139, 151], "By": [2, 138], "being": [2, 7, 71, 72, 113, 118], "robust": [2, 67, 69, 77, 79], "flexibl": [2, 67, 69, 77, 79], "framework": [2, 3, 7, 67, 69, 77, 79], "bayesian": [2, 6, 7, 13, 24, 28, 29, 42, 43, 64, 67, 69, 77, 79, 93, 96, 133, 151], "optim": [2, 3, 4, 6, 7, 8, 13, 17, 19, 20, 21, 22, 24, 26, 28, 29, 31, 32, 34, 36, 39, 40, 41, 42, 43, 49, 57, 58, 64, 67, 69, 77, 79, 89, 90, 93, 96, 120, 130, 131, 132, 133, 135, 136, 137, 138, 139, 142, 143, 146, 147, 149, 151], "improv": [2, 3, 13, 24, 27, 30, 42, 44, 45, 47, 100, 103], "within": [2, 63, 113, 116], "few": [2, 7, 42, 49, 139], "function": [2, 6, 7, 8, 12, 14, 15, 21, 22, 32, 33, 34, 35, 36, 39, 40, 42, 43, 44, 45, 47, 49, 63, 64, 67, 69, 71, 72, 77, 98, 100, 101, 103, 112, 113, 114, 115, 116, 117, 118, 119, 120, 131, 132, 134, 135, 136, 137, 138, 139, 143, 144, 145, 147, 148, 149], "evalu": [2, 3, 7, 8, 12, 13, 14, 19, 21, 24, 25, 32, 33, 34, 42, 43, 44, 45, 47, 49, 50, 51, 52, 55, 57, 58, 60, 61, 63, 71, 72, 93, 94, 95, 96, 97, 98, 99, 112, 113, 118, 120, 130, 131, 132, 133, 138, 139, 142, 143], "It": [2, 7, 13, 17, 57, 58, 63, 85, 87, 113, 116, 131, 132], "offer": [2, 3, 15, 113, 114], "sever": [2, 35, 39, 40, 149], "entri": [2, 3], "point": [2, 3, 13, 15, 24, 26, 32, 33, 36, 42, 44, 47, 57, 58, 65, 66, 67, 69, 84, 85, 87, 142], "pre": [2, 16], "typic": 2, "solv": 2, "low": [2, 3, 12, 13, 42, 49], "dimension": [2, 13, 42, 44, 65, 66, 67, 68, 69, 77, 85, 87, 132], "continu": [2, 13, 22, 32, 34, 42, 43, 45, 57, 58, 59, 60, 61, 63, 98, 112, 131, 132, 135, 136, 137, 138, 142, 149, 151], "artifici": [2, 134], "global": [2, 7, 20, 32, 34, 57, 58], "problem": [2, 6, 7, 8, 42, 43, 113, 114, 116, 118, 119, 130, 132], "across": [2, 7, 22, 42, 43, 46, 48, 57, 61, 64, 98, 112, 113, 114, 116, 118, 139], "multipl": [2, 7, 8, 13, 14, 15, 21, 24, 29, 42, 43, 50, 51, 65, 84, 98, 112, 120, 135, 140, 141, 143, 149], "instanc": [2, 3, 7, 8, 13, 14, 18, 19, 22, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 60, 61, 64, 65, 66, 67, 68, 69, 77, 84, 85, 87, 98, 99, 100, 101, 112, 113, 114, 116, 118, 119, 120, 122, 126, 130, 132, 134, 135, 138, 139, 143, 146], "characterist": 2, "capabl": [2, 113, 116], "sampl": [2, 13, 15, 16, 24, 31, 32, 33, 35, 36, 38, 39, 40, 42, 43, 45, 47, 48, 49, 50, 51, 57, 60, 61, 63, 65, 66, 67, 69, 77, 79, 84, 85, 87, 120], "effici": [2, 3, 12, 32, 34, 57, 58, 98, 112, 151], "black": [2, 3, 7, 130], "box": [2, 3, 7, 130], "onli": [2, 7, 8, 11, 12, 13, 15, 18, 20, 21, 24, 25, 31, 42, 43, 46, 48, 50, 52, 57, 58, 60, 61, 63, 64, 65, 66, 71, 72, 84, 98, 100, 101, 112, 113, 115, 116, 120, 126, 130, 132, 134, 135, 138, 139, 142, 143, 146], "awar": 2, "output": [2, 7, 18, 64, 65, 66, 67, 69, 77, 120], "agnost": 2, "intern": [2, 14, 16, 42, 43, 50, 51, 57, 58, 59, 60, 61, 64, 65, 66, 67, 71, 72, 77, 78, 79, 83, 84, 89, 90, 92, 113, 114, 116, 118, 119, 120, 138], "categor": [2, 3, 32, 36, 42, 45, 131, 135, 138, 139, 143], "hierarch": 2, "condit": [2, 71, 72, 122, 131, 138, 139, 143], "integr": [2, 13, 24, 28, 67, 77, 133, 135], "configurationspac": [2, 3, 4, 32, 33, 35, 36, 37, 65, 66, 67, 68, 69, 77, 98, 112, 120, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146], "up": [2, 13, 57, 61, 63, 98, 112, 124, 130], "100": [2, 4, 7, 120, 130, 132, 133, 138, 139, 142], "object": [2, 3, 4, 7, 16, 18, 19, 22, 24, 25, 26, 27, 28, 29, 30, 32, 33, 35, 36, 37, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 57, 58, 60, 61, 63, 64, 65, 66, 67, 68, 69, 71, 72, 73, 77, 78, 79, 80, 81, 82, 83, 84, 85, 87, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 112, 113, 114, 115, 116, 118, 119, 120, 122, 125, 130, 131, 132, 133, 134, 135, 138, 139, 143, 145, 146], "accuraci": [2, 3, 19, 135, 138, 143], "runtim": [2, 18, 19, 21, 24, 27, 64, 100, 103, 113, 114, 116, 118, 119], "cross": [2, 7, 120, 135, 136, 137, 138, 139, 143, 149], "valid": [2, 3, 7, 42, 43, 57, 58, 61, 64, 65, 66, 120, 130, 132, 134, 135, 136, 137, 138, 139, 142, 143, 146, 149], "possibl": [2, 3, 13, 24, 29, 42, 43, 71, 72, 139], "multi": [2, 3, 7, 18, 22, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 60, 61, 64, 89, 90, 91, 92, 98, 99, 100, 101, 112, 113, 118, 119, 120, 135, 139, 141, 142, 143], "arbitrari": [2, 3, 113, 114, 116, 118, 119, 132, 151], "number": [2, 7, 12, 13, 14, 16, 19, 21, 24, 26, 28, 29, 32, 33, 34, 36, 37, 42, 43, 44, 45, 47, 48, 49, 50, 51, 57, 58, 60, 61, 64, 65, 66, 67, 68, 69, 71, 72, 77, 79, 85, 87, 89, 91, 93, 94, 95, 96, 97, 98, 112, 113, 114, 115, 116, 118, 119, 120, 131, 135, 138, 139, 142, 143, 146, 151], "scalar": [2, 13, 15, 42, 43, 79, 98, 112], "both": [2, 3, 14, 15, 57, 58, 63, 115, 138, 143], "parego": [2, 6, 13, 15, 89, 144, 145, 149], "know06": [2, 6, 15], "mean": [2, 4, 8, 13, 15, 16, 21, 42, 44, 45, 47, 49, 57, 60, 65, 66, 67, 69, 77, 78, 80, 82, 84, 85, 87, 89, 91, 98, 112, 120, 131, 135, 138, 139, 143], "aggreg": [2, 15, 42, 44, 45, 47, 49, 89, 91], "strategi": [2, 7, 15, 42, 43, 44, 45, 47, 49, 50, 51, 89, 90], "fidel": [2, 3, 7, 13, 19, 22, 42, 43, 48, 57, 58, 60, 61, 64, 98, 112, 120, 138, 139], "judg": [2, 42, 43, 64], "budget": [2, 3, 7, 13, 14, 17, 18, 19, 42, 43, 44, 46, 48, 49, 57, 58, 60, 61, 63, 64, 98, 99, 100, 101, 112, 113, 114, 116, 118, 119, 120, 126, 130, 131, 132, 134, 135, 138, 139, 142, 143, 146], "discard": [2, 42, 46, 48, 57, 61], "unsuit": 2, "earli": [2, 42, 49], "massiv": 2, "speed": 2, "one": [2, 7, 8, 11, 12, 15, 18, 19, 21, 32, 35, 36, 42, 43, 49, 57, 58, 60, 61, 67, 77, 98, 100, 105, 107, 108, 109, 112, 113, 114, 115, 116, 119, 120, 130, 132, 134, 135, 139, 142, 143, 146], "dataset": [2, 4, 7, 16, 42, 43, 64, 113, 114, 116, 118, 120, 131, 135, 138, 140, 141, 143, 149], "mani": [2, 3, 7, 12, 42, 44, 45, 46, 47, 48, 49, 57, 58, 60, 61, 63, 65, 84, 98, 99, 112], "line": [2, 6, 7, 21, 22, 131], "interfac": [2, 3, 7, 15, 22, 132], "execut": [2, 8, 13, 18, 21, 42, 43, 48, 64, 98, 112, 113, 114, 115, 116, 118, 119, 137, 141, 145, 148], "file": [2, 9, 10, 18, 22, 42, 43, 64, 98, 112, 120, 131, 134, 137, 141, 145, 148], "also": [2, 3, 7, 8, 13, 14, 18, 19, 21, 57, 58, 67, 77, 98, 112, 113, 114, 116, 119, 125, 131, 134, 135, 138, 143], "commandlin": 2, "consequ": 2, "implement": [2, 3, 8, 13, 24, 25, 32, 33, 36, 37, 50, 51, 57, 58, 60, 61, 64, 65, 66, 67, 69, 71, 72, 73, 74, 75, 76, 77, 78, 80, 82, 85, 87, 89, 92, 113, 114, 116, 138], "other": [2, 13, 19, 24, 31, 42, 43, 57, 58, 64, 98, 112], "languag": 2, "temporarili": 2, "disabl": [2, 20, 42, 45, 47, 48, 50, 51, 133], "v2": [2, 8, 17, 18], "0": [2, 3, 4, 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120], "hypermapp": 2, "optuna": 2, "hyperopt": 2, "botorch": 2, "openbox": 2, "hpbandster": [2, 8], "four": [3, 65, 66], "compon": [3, 18, 22, 42, 43, 44, 63, 65, 66, 67, 68, 69, 77, 85, 87, 134], "run": [3, 7, 8, 10, 12, 13, 14, 15, 18, 19, 22, 39, 40, 42, 43, 46, 48, 49, 57, 58, 59, 60, 61, 63, 64, 98, 112, 113, 114, 115, 116, 117, 118, 119, 120, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146], "process": [3, 6, 7, 8, 12, 13, 15, 17, 18, 19, 21, 32, 36, 39, 40, 42, 43, 45, 57, 60, 61, 63, 64, 65, 66, 67, 68, 69, 71, 72, 77, 79, 113, 114, 116, 118, 119, 120, 130, 133, 138, 139], "all": [3, 7, 13, 15, 17, 18, 19, 20, 22, 24, 29, 32, 36, 42, 43, 46, 48, 57, 58, 60, 61, 63, 64, 65, 66, 67, 68, 71, 72, 79, 84, 85, 86, 87, 98, 100, 101, 112, 113, 114, 115, 116, 117, 118, 119, 120, 124, 130, 131, 132, 135, 138, 139, 142, 149], "which": [3, 7, 8, 13, 15, 18, 20, 21, 24, 25, 32, 35, 36, 42, 43, 44, 45, 49, 50, 51, 57, 58, 60, 61, 64, 65, 66, 67, 68, 69, 71, 72, 77, 84, 85, 87, 88, 93, 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113, 114, 116, 118, 119, 120, 125, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146], "given": [7, 18, 24, 25, 26, 42, 48, 57, 58, 61, 65, 66, 93, 95, 97, 98, 100, 101, 112, 113, 114, 118, 119, 125, 126, 139], "singl": [7, 12, 13, 15, 18, 42, 44, 47, 49, 57, 58, 65, 84, 85, 87, 89, 90, 91, 92, 98, 112, 113, 114, 115, 116, 119, 138], "combin": [7, 42, 43, 57, 58, 64, 89, 90, 91, 92, 98, 112, 113, 114, 116, 120, 131, 138, 139, 151], "should": [8, 9, 13, 18, 20, 24, 25, 35, 42, 43, 44, 45, 47, 49, 57, 58, 60, 63, 64, 65, 71, 72, 84, 93, 94, 95, 96, 97, 120, 126, 130, 132], "smac2": [8, 85, 87, 134], "reimplement": 8, "origin": [8, 15, 32, 36, 78, 79, 83, 125, 151], "et": [8, 24, 28, 29, 67, 77], "al": [8, 24, 28, 29, 67, 77], "2021": [8, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146], "slightli": 8, "comparison": [8, 42, 48, 57, 58], "stabl": 8, "releas": 8, "java": 8, "sinc": [8, 13, 15, 18, 19, 22, 42, 49, 57, 58, 138, 142, 143], "maintain": 8, "applic": [8, 14], "cannot": 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71, 72, 73, 74, 75, 76, 77, 85, 87, 98, 112, 113, 116, 120, 124, 131, 132, 133, 134], "non": [8, 18, 24, 29, 71, 72, 147, 149], "thu": [8, 16, 32, 33, 135], "nevertheless": [8, 113, 116], "still": [8, 10, 13, 15, 18, 21, 98, 112, 113, 114, 115, 116, 132], "why": [8, 14], "colab": 8, "crash": [8, 100, 101, 103, 104, 106, 107, 108, 113, 117, 131], "child": [8, 21, 50, 51, 113, 114, 131, 138, 143], "pynish": [8, 21, 113, 118, 120], "enforc": [8, 120], "memori": [8, 42, 43, 64, 113, 114, 116, 118, 120], "runner": [8, 13, 64, 131, 133], "mai": [8, 57, 58], "overcom": 8, "remov": [8, 24, 29, 32, 36, 57, 60, 119, 142, 143], "program": [9, 21, 63], "redistribut": 9, "modifi": [9, 21], "term": 9, "claus": [9, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146], "bsd": [9, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146], "distribut": [9, 13, 42, 43, 64, 78, 80, 82, 85, 87, 113, 114, 116, 118, 138], "hope": 9, "warranti": 9, "impli": [9, 138], "merchant": 9, "FOR": 9, "particular": 9, 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134, 135, 138, 139, 142, 143, 146], "step": [13, 32, 36, 37, 57, 61, 67, 77, 115, 143], "request": [13, 134], "via": [13, 15, 21, 32, 34, 38, 113, 114, 116, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146], "config_gener": [13, 57, 58], "over": [13, 24, 26, 28, 29, 32, 34, 57, 60, 65, 66, 67, 77, 84, 85, 87, 93, 96, 97, 98, 112, 115, 136, 137, 142, 149], "considered_st": [13, 100, 101, 103, 104, 106, 107, 108], "timeout": 13, "consid": [13, 17, 19, 21, 42, 44, 47, 49, 57, 58, 85, 87, 98, 100, 101, 112, 115, 138, 139, 143], "normalize_cost": [13, 125], "objective_bound": [13, 98, 112], "inact": [13, 42, 43, 122], "after": [13, 15, 19, 24, 25, 39, 40, 42, 49, 57, 61, 63, 64, 93, 96, 132, 133, 134, 138, 143], "mathemat": 13, "techniqu": [13, 32, 34], "varianc": [13, 65, 66, 67, 69, 77, 84, 85, 87, 139], "section": 13, "otherwis": [13, 21, 57, 58, 113, 116, 118, 120], "bunch": 13, "confid": [13, 24, 26, 42, 49], "bound": [13, 24, 26, 78, 83, 98, 112, 122, 125, 143], "thompson": [13, 24], "prior": [13, 24, 29, 32, 36, 71, 72, 73, 74, 75, 76, 136, 137, 149], "literatur": 13, "calcul": [13, 17, 24, 25, 98, 112, 130, 131, 132, 135, 138, 146], "respons": [13, 42, 43, 100, 101, 103, 105, 106, 107, 108, 109], "wrapper": [13, 65, 84, 113, 114, 115, 116], "differenti": [13, 32, 34], "evolut": [13, 32, 34], "neighbour": 13, "pai": 13, "attent": 13, "challeng": [13, 32, 33, 34, 35, 36, 37, 38, 42, 43, 45, 47, 57, 58, 60, 93, 94, 113, 114, 122], "experi": [13, 20, 42, 47], "ram": [13, 42, 47], "long": 13, "comput": [13, 24, 25, 26, 28, 78, 79, 83, 98, 112, 126], "challengerlist": [13, 32, 33, 35], "latin": [13, 50, 54], "hypercub": [13, 50, 54], "factori": [13, 50, 53, 98, 99], "corner": [13, 50, 53], "sequenc": [13, 50, 56], "quasi": 13, "discrep": 13, "statist": [13, 64], "method": [13, 15, 19, 24, 25, 32, 33, 34, 39, 40, 42, 43, 57, 58, 60, 61, 63, 65, 66, 71, 72, 73, 78, 79, 83, 85, 87, 113, 114, 115, 116, 118, 119, 135, 138, 139, 143], "multidimension": 13, "yield": [13, 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\ No newline at end of file
+Search.setIndex({"docnames": ["10_experimental", "1_installation", "2_package_overview", "3_getting_started", "4_minimal_example", "5_api", "6_references", "7_glossary", "8_faq", "9_license", "advanced_usage/10_continue", "advanced_usage/11_reproducibility", "advanced_usage/12_optimizations", "advanced_usage/1_components", "advanced_usage/2_multi_fidelity", "advanced_usage/3_multi_objective", "advanced_usage/4_instances", "advanced_usage/5_ask_and_tell", "advanced_usage/6_commandline", "advanced_usage/7_stopping_criteria", "advanced_usage/8_logging", "advanced_usage/9_parallelism", "advanced_usage/index", "api/smac.acquisition", "api/smac.acquisition.function", "api/smac.acquisition.function.abstract_acquisition_function", "api/smac.acquisition.function.confidence_bound", "api/smac.acquisition.function.expected_improvement", "api/smac.acquisition.function.integrated_acquisition_function", "api/smac.acquisition.function.prior_acqusition_function", "api/smac.acquisition.function.probability_improvement", "api/smac.acquisition.function.thompson", "api/smac.acquisition.maximizer", "api/smac.acquisition.maximizer.abstract_acqusition_maximizer", "api/smac.acquisition.maximizer.differential_evolution", "api/smac.acquisition.maximizer.helpers", "api/smac.acquisition.maximizer.local_and_random_search", "api/smac.acquisition.maximizer.local_search", "api/smac.acquisition.maximizer.random_search", "api/smac.callback", "api/smac.callback.callback", "api/smac.callback.metadata_callback", "api/smac.facade", "api/smac.facade.abstract_facade", "api/smac.facade.algorithm_configuration_facade", "api/smac.facade.blackbox_facade", "api/smac.facade.hyperband_facade", "api/smac.facade.hyperparameter_optimization_facade", "api/smac.facade.multi_fidelity_facade", "api/smac.facade.random_facade", "api/smac.initial_design", "api/smac.initial_design.abstract_initial_design", "api/smac.initial_design.default_design", "api/smac.initial_design.factorial_design", "api/smac.initial_design.latin_hypercube_design", "api/smac.initial_design.random_design", "api/smac.initial_design.sobol_design", "api/smac.intensifier", "api/smac.intensifier.abstract_intensifier", "api/smac.intensifier.hyperband", "api/smac.intensifier.intensifier", "api/smac.intensifier.successive_halving", "api/smac.main", "api/smac.main.config_selector", "api/smac.main.smbo", "api/smac.model", "api/smac.model.abstract_model", "api/smac.model.gaussian_process", "api/smac.model.gaussian_process.abstract_gaussian_process", "api/smac.model.gaussian_process.gaussian_process", "api/smac.model.gaussian_process.gpytorch_gaussian_process", "api/smac.model.gaussian_process.kernels", "api/smac.model.gaussian_process.kernels.base_kernels", "api/smac.model.gaussian_process.kernels.hamming_kernel", "api/smac.model.gaussian_process.kernels.matern_kernel", "api/smac.model.gaussian_process.kernels.rbf_kernel", "api/smac.model.gaussian_process.kernels.white_kernel", "api/smac.model.gaussian_process.mcmc_gaussian_process", "api/smac.model.gaussian_process.priors", "api/smac.model.gaussian_process.priors.abstract_prior", "api/smac.model.gaussian_process.priors.gamma_prior", "api/smac.model.gaussian_process.priors.horseshoe_prior", "api/smac.model.gaussian_process.priors.log_normal_prior", "api/smac.model.gaussian_process.priors.tophat_prior", "api/smac.model.multi_objective_model", "api/smac.model.random_forest", "api/smac.model.random_forest.abstract_random_forest", "api/smac.model.random_forest.random_forest", "api/smac.model.random_model", "api/smac.multi_objective", "api/smac.multi_objective.abstract_multi_objective_algorithm", "api/smac.multi_objective.aggregation_strategy", "api/smac.multi_objective.parego", "api/smac.random_design", "api/smac.random_design.abstract_random_design", "api/smac.random_design.annealing_design", "api/smac.random_design.modulus_design", "api/smac.random_design.probability_design", "api/smac.runhistory", "api/smac.runhistory.dataclasses", "api/smac.runhistory.encoder", "api/smac.runhistory.encoder.abstract_encoder", "api/smac.runhistory.encoder.boing_encoder", "api/smac.runhistory.encoder.eips_encoder", "api/smac.runhistory.encoder.encoder", "api/smac.runhistory.encoder.inverse_scaled_encoder", "api/smac.runhistory.encoder.log_encoder", "api/smac.runhistory.encoder.log_scaled_encoder", "api/smac.runhistory.encoder.scaled_encoder", "api/smac.runhistory.encoder.sqrt_scaled_encoder", "api/smac.runhistory.enumerations", "api/smac.runhistory.errors", "api/smac.runhistory.runhistory", "api/smac.runner", "api/smac.runner.abstract_runner", "api/smac.runner.abstract_serial_runner", "api/smac.runner.dask_runner", "api/smac.runner.exceptions", "api/smac.runner.target_function_runner", "api/smac.runner.target_function_script_runner", "api/smac.scenario", "api/smac.utils", "api/smac.utils.configspace", 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30, 31, 32, 33, 36, 37, 42, 43, 50, 51, 57, 58, 60, 61, 63, 64, 65, 66, 67, 68, 69, 71, 72, 73, 77, 78, 79, 80, 81, 82, 83, 84, 85, 87, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 100, 101, 112, 113, 114, 118, 119, 120, 130, 131, 132, 133, 134, 135, 138, 139, 143], "common": [0, 3, 113, 114, 116, 135], "updat": [0, 1, 13, 18, 24, 25, 39, 40, 42, 43, 49, 57, 58, 64, 89, 90, 92, 98, 112, 134], "build": [0, 1, 131, 135, 138, 139], "essenti": [0, 39, 40], "swig": [0, 1], "conda": 0, "gxx_linux": [0, 1], "64": [0, 1, 32, 37], "gcc_linux": [0, 1], "curl": 0, "http": [0, 1, 6, 9, 24, 28, 50, 54, 56, 89, 92, 126, 138, 152], "raw": 0, "githubusercont": 0, "com": [0, 1, 126, 152], "automl": [0, 1, 8, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146, 152], "smac3": [0, 1, 8, 131, 133, 152], "master": 0, "requir": [0, 3, 8, 13, 14, 21, 24, 25, 29, 31, 32, 34, 57, 61, 63, 85, 87, 98, 112, 113, 114, 118, 119, 120, 139], "txt": 0, "xarg": 0, "n": [0, 1, 6, 24, 25, 28, 31, 57, 60, 63, 67, 69, 77, 79, 113, 116, 123, 142, 143, 150], "l": [0, 6], "pip": [0, 1], "written": [1, 57, 58, 152], "python3": [1, 131, 138, 152], "therefor": [1, 3, 7, 13, 42, 49, 71, 72, 120, 138, 143], "8": [1, 3, 12, 13, 42, 43, 45, 57, 61, 63, 85, 87, 131, 135, 138, 142, 143, 146, 152], "furthermor": [1, 57, 58, 133], "random": [1, 3, 7, 22, 24, 29, 32, 33, 35, 36, 38, 42, 43, 44, 45, 46, 47, 48, 49, 50, 55, 57, 58, 60, 61, 65, 66, 85, 86, 87, 88, 93, 94, 95, 96, 97, 120, 131, 135, 138, 143, 152], "forest": [1, 3, 7, 13, 24, 29, 32, 36, 42, 44, 47, 65, 66, 85, 86, 87, 131, 135, 152], "us": [1, 2, 3, 4, 7, 8, 9, 11, 13, 14, 15, 16, 18, 19, 21, 24, 25, 29, 31, 32, 33, 34, 35, 36, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 71, 72, 77, 78, 79, 81, 83, 84, 85, 87, 93, 95, 96, 97, 98, 99, 100, 101, 105, 106, 107, 109, 112, 113, 114, 116, 118, 119, 120, 122, 123, 124, 130, 131, 132, 133, 134, 135, 139, 140, 141, 142, 143, 146, 147, 149, 152, 153], "depend": [1, 2, 3, 8, 12, 13, 18, 22, 42, 45, 65, 66, 89, 90, 113, 117, 120, 131], "either": [1, 3, 8, 42, 43, 67, 77, 98, 112, 113, 118], "system": 1, "directli": [1, 3, 13, 14, 15, 18, 113, 118], "The": [1, 2, 3, 4, 7, 8, 10, 12, 13, 14, 15, 18, 19, 20, 21, 24, 25, 32, 33, 34, 36, 42, 43, 44, 45, 47, 49, 57, 58, 59, 60, 61, 63, 64, 65, 66, 67, 68, 69, 71, 72, 77, 78, 79, 80, 83, 84, 85, 87, 93, 94, 96, 98, 99, 100, 101, 112, 113, 114, 115, 116, 118, 119, 120, 122, 126, 130, 132, 138, 142, 143, 152], "machin": [1, 4, 24, 28, 136, 137, 149, 152, 153], "follow": [1, 2, 3, 4, 8, 12, 13, 15, 16, 18, 20, 42, 49, 57, 60, 61, 85, 87, 113, 114, 116, 119, 146, 152], "mac": [1, 8], "9": [1, 32, 34, 138, 139, 142, 152], "10": [1, 3, 7, 20, 24, 29, 32, 36, 37, 42, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 58, 59, 60, 61, 67, 69, 85, 87, 130, 131, 132, 133, 134, 135, 138, 142, 143, 152], "we": [1, 3, 7, 8, 13, 15, 16, 18, 22, 24, 31, 32, 33, 42, 43, 49, 57, 58, 61, 63, 64, 67, 77, 79, 113, 114, 116, 118, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146, 149, 152], "recommend": [1, 8, 12, 13, 18, 22], "activ": [1, 8, 71, 72, 113, 116, 135, 138, 143], "haven": 1, "t": [1, 3, 8, 24, 26, 27, 30, 31, 71, 72, 134], "yet": [1, 8, 57, 61, 130, 131, 132, 134, 135, 138, 139, 142, 143, 146], "insid": [1, 13, 21, 133], "now": [1, 15, 130, 131, 132, 133, 134, 139, 146], "pypi": 1, "Or": [1, 15], "altern": [1, 15, 131, 139], "clone": 1, "from": [1, 2, 3, 4, 8, 10, 13, 18, 19, 20, 32, 33, 34, 36, 42, 43, 49, 50, 51, 57, 58, 60, 61, 63, 64, 67, 69, 71, 72, 79, 98, 112, 113, 114, 116, 118, 119, 120, 126, 130, 131, 132, 133, 134, 135, 137, 138, 139, 141, 142, 143, 145, 147, 148, 149, 150, 153], "github": [1, 8, 50, 56, 126, 152], "git": 1, "dev": 1, "channel": 1, "achiev": [1, 3], "ad": [1, 13, 39, 40, 57, 58, 60, 61, 71, 72, 98, 112, 122, 130, 131, 132, 134, 135, 138, 139, 142, 143, 146], "config": [1, 3, 4, 7, 13, 39, 40, 42, 43, 48, 50, 51, 57, 58, 60, 61, 63, 64, 98, 99, 110, 112, 113, 114, 116, 118, 119, 120, 122, 126, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146], "add": [1, 8, 13, 16, 42, 43, 44, 45, 47, 48, 49, 50, 51, 57, 60, 61, 64, 98, 112, 131, 135, 138, 139, 143], "set": [1, 2, 6, 8, 10, 13, 18, 19, 42, 45, 46, 47, 48, 49, 50, 51, 57, 58, 59, 60, 61, 64, 93, 95, 97, 98, 112, 113, 118, 120, 124, 125, 131, 134, 135, 142, 143, 146], "channel_prior": 1, "strict": 1, "must": [1, 3, 18, 32, 33, 35, 42, 44, 45, 47, 49, 65, 66, 71, 72, 78, 79, 80, 83, 84, 89, 91, 113, 118, 119, 120, 138], "have": [1, 7, 8, 9, 10, 13, 14, 15, 17, 18, 21, 32, 36, 42, 43, 49, 57, 58, 63, 64, 98, 99, 112, 113, 114, 115, 116, 118, 132, 135, 138, 139, 143], "4": [1, 2, 13, 18, 42, 44, 57, 61, 119, 130, 132, 133, 135, 138, 139, 142, 143], "To": [1, 8, 10, 13, 16, 113, 116, 134, 135, 138], "current": [1, 7, 10, 13, 21, 24, 25, 27, 28, 32, 33, 42, 43, 49, 57, 58, 59, 60, 61, 64, 67, 69, 93, 97, 98, 99, 100, 101, 112, 133], "instruct": 1, "offici": 1, "document": [1, 3, 32, 34, 57, 59], "onc": [1, 13, 21, 32, 37, 42, 46, 48, 49, 57, 61, 135, 138, 143], "enabl": [1, 18, 42, 44, 47, 85, 87, 98, 112], "read": [1, 10, 22, 98, 112, 134], "feedstock": 1, "more": [1, 3, 7, 12, 13, 15, 19, 22, 42, 48, 57, 58, 60, 113, 114, 116, 131, 142], "detail": [1, 3, 7, 24, 28, 29, 42, 48, 138], "find": [1, 2, 3, 4, 7, 13, 32, 34, 57, 58, 63, 130, 131, 132, 133, 134, 146], "how": [1, 7, 8, 13, 14, 15, 18, 20, 22, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 60, 61, 63, 64, 98, 99, 112, 113, 114, 116, 119, 123, 132, 138, 142, 143, 146, 149], "do": [1, 10, 13, 15, 16, 18, 20, 24, 31, 42, 43, 49, 64, 113, 114, 116, 118, 134, 135, 146], "here": [1, 3, 8, 13, 19, 24, 31, 57, 58, 63, 130, 134, 135, 139, 146, 152], "howev": [1, 3, 7, 8, 13, 15, 17, 18, 22, 42, 43, 57, 61, 63, 119, 142], "support": [2, 3, 4, 13, 21, 42, 44, 46, 48, 57, 58, 60, 61, 71, 72, 136, 137, 149, 153], "determin": [2, 8, 14, 42, 43, 57, 58, 67, 71, 72, 77, 115], "well": [2, 13, 17, 24, 29, 113, 114, 131, 132, 135], "perform": [2, 3, 7, 8, 13, 14, 18, 32, 36, 37, 42, 43, 44, 46, 47, 48, 49, 57, 58, 61, 64, 85, 87, 98, 112, 113, 114, 120, 124, 139, 152], "hyperparamet": [2, 3, 4, 6, 7, 13, 18, 24, 28, 29, 32, 36, 42, 43, 45, 47, 48, 50, 51, 65, 66, 67, 69, 71, 72, 73, 77, 78, 79, 83, 84, 85, 87, 122, 130, 131, 132, 133, 134, 135, 138, 143, 146, 152], "configur": [2, 4, 7, 8, 12, 15, 17, 18, 22, 24, 25, 32, 33, 35, 36, 38, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 55, 57, 58, 60, 61, 63, 64, 78, 79, 83, 93, 94, 95, 96, 97, 98, 99, 100, 101, 112, 113, 114, 115, 116, 118, 119, 120, 122, 124, 126, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146, 152], "algorithm": [2, 3, 6, 7, 8, 14, 15, 22, 24, 28, 32, 34, 42, 43, 44, 45, 46, 47, 49, 57, 58, 98, 100, 101, 112, 113, 114, 118, 119, 126, 131, 139, 152], "By": [2, 138], "being": [2, 7, 71, 72, 113, 118], "robust": [2, 67, 69, 77, 79], "flexibl": [2, 67, 69, 77, 79], "framework": [2, 3, 7, 67, 69, 77, 79], "bayesian": [2, 6, 7, 13, 24, 28, 29, 42, 43, 64, 67, 69, 77, 79, 93, 96, 133, 152], "optim": [2, 3, 4, 6, 7, 8, 13, 17, 19, 20, 21, 22, 24, 26, 28, 29, 31, 32, 34, 36, 39, 40, 41, 42, 43, 49, 57, 58, 64, 67, 69, 77, 79, 89, 90, 93, 96, 120, 130, 131, 132, 133, 135, 136, 137, 138, 139, 142, 143, 146, 147, 149, 152, 153], "improv": [2, 3, 13, 24, 27, 30, 42, 44, 45, 47, 100, 103], "within": [2, 63, 113, 116], "few": [2, 7, 42, 49, 139], "function": [2, 6, 7, 8, 12, 14, 15, 21, 22, 32, 33, 34, 35, 36, 39, 40, 42, 43, 44, 45, 47, 49, 63, 64, 67, 69, 71, 72, 77, 98, 100, 101, 103, 112, 113, 114, 115, 116, 117, 118, 119, 120, 131, 132, 134, 135, 136, 137, 138, 139, 143, 144, 145, 147, 148, 149, 153], "evalu": [2, 3, 7, 8, 12, 13, 14, 19, 21, 24, 25, 32, 33, 34, 42, 43, 44, 45, 47, 49, 50, 51, 52, 55, 57, 58, 60, 61, 63, 71, 72, 93, 94, 95, 96, 97, 98, 99, 112, 113, 118, 120, 130, 131, 132, 133, 138, 139, 142, 143], "It": [2, 7, 13, 17, 57, 58, 63, 85, 87, 113, 116, 131, 132], "offer": [2, 3, 15, 113, 114], "sever": [2, 35, 39, 40, 149], "entri": [2, 3], "point": [2, 3, 13, 15, 24, 26, 32, 33, 36, 42, 44, 47, 57, 58, 65, 66, 67, 69, 84, 85, 87, 142], "pre": [2, 16], "typic": 2, "solv": 2, "low": [2, 3, 12, 13, 42, 49], "dimension": [2, 13, 42, 44, 65, 66, 67, 68, 69, 77, 85, 87, 132], "continu": [2, 13, 22, 32, 34, 42, 43, 45, 57, 58, 59, 60, 61, 63, 98, 112, 131, 132, 135, 136, 137, 138, 142, 149, 152, 153], "artifici": [2, 134], "global": [2, 7, 20, 32, 34, 57, 58], "problem": [2, 6, 7, 8, 42, 43, 113, 114, 116, 118, 119, 130, 132], "across": [2, 7, 22, 42, 43, 46, 48, 57, 61, 64, 98, 112, 113, 114, 116, 118, 139], "multipl": [2, 7, 8, 13, 14, 15, 21, 24, 29, 42, 43, 50, 51, 65, 84, 98, 112, 120, 135, 140, 141, 143, 149, 153], "instanc": [2, 3, 7, 8, 13, 14, 18, 19, 22, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 60, 61, 64, 65, 66, 67, 68, 69, 77, 84, 85, 87, 98, 99, 100, 101, 112, 113, 114, 116, 118, 119, 120, 122, 126, 130, 132, 134, 135, 138, 139, 143, 146], "characterist": 2, "capabl": [2, 113, 116], "sampl": [2, 13, 15, 16, 24, 31, 32, 33, 35, 36, 38, 39, 40, 42, 43, 45, 47, 48, 49, 50, 51, 57, 60, 61, 63, 65, 66, 67, 69, 77, 79, 84, 85, 87, 120], "effici": [2, 3, 12, 32, 34, 57, 58, 98, 112, 152], "black": [2, 3, 7, 130], "box": [2, 3, 7, 130], "onli": [2, 7, 8, 11, 12, 13, 15, 18, 20, 21, 24, 25, 31, 42, 43, 46, 48, 50, 52, 57, 58, 60, 61, 63, 64, 65, 66, 71, 72, 84, 98, 100, 101, 112, 113, 115, 116, 120, 126, 130, 132, 134, 135, 138, 139, 142, 143, 146], "awar": 2, "output": [2, 7, 18, 64, 65, 66, 67, 69, 77, 120], "agnost": 2, "intern": [2, 14, 16, 42, 43, 50, 51, 57, 58, 59, 60, 61, 64, 65, 66, 67, 71, 72, 77, 78, 79, 83, 84, 89, 90, 92, 113, 114, 116, 118, 119, 120, 138], "categor": [2, 3, 32, 36, 42, 45, 131, 135, 138, 139, 143], "hierarch": 2, "condit": [2, 71, 72, 122, 131, 138, 139, 143], "integr": [2, 13, 24, 28, 67, 77, 133, 135], "configurationspac": [2, 3, 4, 32, 33, 35, 36, 37, 65, 66, 67, 68, 69, 77, 98, 112, 120, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146], "up": [2, 13, 57, 61, 63, 98, 112, 124, 130], "100": [2, 4, 7, 120, 130, 132, 133, 139, 142], "object": [2, 3, 4, 7, 16, 18, 19, 22, 24, 25, 26, 27, 28, 29, 30, 32, 33, 35, 36, 37, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 57, 58, 60, 61, 63, 64, 65, 66, 67, 68, 69, 71, 72, 73, 77, 78, 79, 80, 81, 82, 83, 84, 85, 87, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 112, 113, 114, 115, 116, 118, 119, 120, 122, 125, 130, 131, 132, 133, 134, 135, 138, 139, 143, 145, 146, 153], "accuraci": [2, 3, 19, 135, 138, 143], "runtim": [2, 18, 19, 21, 24, 27, 64, 100, 103, 113, 114, 116, 118, 119], "cross": [2, 7, 120, 135, 136, 137, 138, 139, 143, 149, 153], "valid": [2, 3, 7, 42, 43, 57, 58, 61, 64, 65, 66, 120, 130, 132, 134, 135, 136, 137, 138, 139, 142, 143, 146, 149, 153], "possibl": [2, 3, 13, 24, 29, 42, 43, 71, 72, 139], "multi": [2, 3, 7, 18, 22, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 60, 61, 64, 89, 90, 91, 92, 98, 99, 100, 101, 112, 113, 118, 119, 120, 135, 139, 141, 142, 143, 153], "arbitrari": [2, 3, 113, 114, 116, 118, 119, 132, 152], "number": [2, 7, 12, 13, 14, 16, 19, 21, 24, 26, 28, 29, 32, 33, 34, 36, 37, 42, 43, 44, 45, 47, 48, 49, 50, 51, 57, 58, 60, 61, 64, 65, 66, 67, 68, 69, 71, 72, 77, 79, 85, 87, 89, 91, 93, 94, 95, 96, 97, 98, 112, 113, 114, 115, 116, 118, 119, 120, 131, 135, 138, 139, 142, 143, 146, 152], "scalar": [2, 13, 15, 42, 43, 79, 98, 112], "both": [2, 3, 14, 15, 57, 58, 63, 115, 138, 143], "parego": [2, 6, 13, 15, 89, 144, 145, 149, 153], "know06": [2, 6, 15], "mean": [2, 4, 8, 13, 15, 16, 21, 42, 44, 45, 47, 49, 57, 60, 65, 66, 67, 69, 77, 78, 80, 82, 84, 85, 87, 89, 91, 98, 112, 120, 131, 135, 138, 139, 143], "aggreg": [2, 15, 42, 44, 45, 47, 49, 89, 91], "strategi": [2, 7, 15, 42, 43, 44, 45, 47, 49, 50, 51, 89, 90], "fidel": [2, 3, 7, 13, 19, 22, 42, 43, 48, 57, 58, 60, 61, 64, 98, 112, 120, 138, 139], "judg": [2, 42, 43, 64], "budget": [2, 3, 7, 13, 14, 17, 18, 19, 42, 43, 44, 46, 48, 49, 57, 58, 60, 61, 63, 64, 98, 99, 100, 101, 112, 113, 114, 116, 118, 119, 120, 126, 130, 131, 132, 134, 135, 138, 139, 142, 143, 146], "discard": [2, 42, 46, 48, 57, 61], "unsuit": 2, "earli": [2, 42, 49], "massiv": 2, "speed": 2, "one": [2, 7, 8, 11, 12, 15, 18, 19, 21, 32, 35, 36, 42, 43, 49, 57, 58, 60, 61, 67, 77, 98, 100, 105, 107, 108, 109, 112, 113, 114, 115, 116, 119, 120, 130, 132, 134, 135, 139, 142, 143, 146], "dataset": [2, 4, 7, 16, 42, 43, 64, 113, 114, 116, 118, 120, 131, 135, 138, 140, 141, 143, 149, 153], "mani": [2, 3, 7, 12, 42, 44, 45, 46, 47, 48, 49, 57, 58, 60, 61, 63, 65, 84, 98, 99, 112], "line": [2, 6, 7, 21, 22, 131], "interfac": [2, 3, 7, 15, 22, 132], "execut": [2, 8, 13, 18, 21, 42, 43, 48, 64, 98, 112, 113, 114, 115, 116, 118, 119, 137, 141, 145, 148, 150, 153], "file": [2, 9, 10, 18, 22, 42, 43, 64, 98, 112, 120, 131, 134, 137, 141, 145, 148, 150, 153], "also": [2, 3, 7, 8, 13, 14, 18, 19, 21, 57, 58, 67, 77, 98, 112, 113, 114, 116, 119, 125, 131, 134, 135, 138, 143], "commandlin": 2, 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3, 6, 7, 8, 10, 13, 14, 20, 32, 36, 37, 42, 43, 64, 67, 69, 77, 79, 113, 114, 116, 118, 119, 120, 130, 131, 132, 133, 134, 135, 138, 143, 146], "tool": [2, 8, 152], "complex": [2, 13, 22, 113, 114], "space": [2, 13, 18, 24, 26, 27, 29, 32, 33, 34, 36, 42, 45, 47, 48, 49, 50, 51, 78, 79, 83, 119, 120, 130, 131, 135, 138, 139], "parallel": [2, 12, 22, 113, 114, 115, 116, 120], "hypermapp": 2, "optuna": 2, "hyperopt": 2, "botorch": 2, "openbox": 2, "hpbandster": [2, 8], "four": [3, 65, 66], "compon": [3, 18, 22, 42, 43, 44, 63, 65, 66, 67, 68, 69, 77, 85, 87, 134], "run": [3, 7, 8, 10, 12, 13, 14, 15, 18, 19, 22, 39, 40, 42, 43, 46, 48, 49, 57, 58, 59, 60, 61, 63, 64, 98, 112, 113, 114, 115, 116, 117, 118, 119, 120, 130, 131, 132, 133, 134, 135, 138, 139, 142, 143, 146], "process": [3, 6, 7, 8, 12, 13, 15, 17, 18, 19, 21, 32, 36, 39, 40, 42, 43, 45, 57, 60, 61, 63, 64, 65, 66, 67, 68, 69, 71, 72, 77, 79, 113, 114, 116, 118, 119, 120, 130, 133, 138, 139], "all": [3, 7, 13, 15, 17, 18, 19, 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32, 36, 42, 47, 152], "our": [8, 10, 14, 15, 17, 21, 131, 135, 138, 139, 143, 146, 152], "list": [8, 12, 15, 18, 24, 25, 28, 32, 33, 35, 42, 43, 44, 45, 47, 48, 49, 50, 51, 57, 58, 61, 64, 65, 66, 67, 68, 69, 71, 72, 77, 84, 85, 87, 89, 90, 91, 92, 93, 94, 98, 99, 100, 101, 112, 113, 114, 115, 116, 118, 119, 120, 122, 123, 125, 126, 130, 138, 139, 143], "befor": [8, 13, 21, 24, 25, 32, 36, 37, 39, 40, 41, 42, 43, 47, 63, 64, 67, 77, 93, 96, 113, 114, 115, 116, 134, 138, 143], "sure": [8, 13, 15, 18, 67, 77, 93, 96, 113, 114, 116, 117, 134], "hasn": 8, "alreadi": [8, 13, 24, 25, 57, 60, 63, 64, 98, 112, 132, 134, 138], "tracker": [8, 13, 57, 59, 61], "latest": [8, 57, 58], "inform": [8, 10, 13, 42, 43, 50, 54, 56, 57, 58, 61, 64, 98, 99, 112, 113, 114, 116, 118, 119, 131], "descript": 8, "reproduc": [8, 21, 22, 120], "about": [8, 12, 13, 57, 60, 64, 71, 72, 98, 99, 113, 114, 131, 135], "setup": [8, 10, 42, 43, 49, 64, 124], "help": [8, 12], "resolv": 8, "packag": [8, 131, 138, 152], 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132], "mention": [13, 152], "start": [13, 17, 21, 22, 39, 40, 41, 42, 43, 57, 58, 67, 77, 89, 90, 92, 113, 116, 133, 138, 139, 143], "paragraph": 13, "give": [13, 17, 20, 22, 63, 120], "pictur": 13, "These": [13, 135], "influenc": [13, 15], "drastic": 13, "shortli": 13, "main": [13, 21, 32, 36, 42, 49, 57, 58, 113, 116, 133, 134, 152], "loop": [13, 42, 43, 49, 57, 58, 60, 61, 64, 113, 114, 133], "logic": [13, 57, 60], "while": [13, 57, 58, 60, 61, 131], "next": [13, 15, 17, 19, 32, 33, 39, 40, 42, 43, 57, 58, 59, 63, 64, 93, 94, 95, 96, 97, 113, 114, 116, 131, 132], "submit": [13, 98, 112, 113, 114, 115, 116], "wait": [13, 57, 58, 113, 114, 115, 116], "decoupl": 13, "occupi": 13, "until": [13, 113, 114, 115, 116, 134], "avail": [13, 18, 42, 48, 57, 58, 113, 114, 115, 116, 142], "again": [13, 19, 42, 48, 57, 58, 63, 134], "moreov": [13, 57, 58, 135], "remain": [13, 64, 130, 131, 132, 134, 135, 138, 139, 142, 143, 146], "empir": [13, 24, 29, 98, 112], "epm": 13, "mostli": 13, "associ": 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"normalize_cost": [13, 125], "objective_bound": [13, 98, 112], "inact": [13, 42, 43, 122], "after": [13, 15, 19, 24, 25, 39, 40, 42, 49, 57, 61, 63, 64, 93, 96, 132, 133, 134, 138, 143], "mathemat": 13, "techniqu": [13, 32, 34], "varianc": [13, 65, 66, 67, 69, 77, 84, 85, 87, 139], "section": 13, "otherwis": [13, 21, 57, 58, 113, 116, 118, 120], "bunch": 13, "confid": [13, 24, 26, 42, 49], "bound": [13, 24, 26, 78, 83, 98, 112, 122, 125, 143], "thompson": [13, 24], "prior": [13, 24, 29, 32, 36, 71, 72, 73, 74, 75, 76, 136, 137, 149, 153], "literatur": 13, "calcul": [13, 17, 24, 25, 98, 112, 130, 131, 132, 135, 138, 146], "respons": [13, 42, 43, 100, 101, 103, 105, 106, 107, 108, 109], "wrapper": [13, 65, 84, 113, 114, 115, 116], "differenti": [13, 32, 34], "evolut": [13, 32, 34], "neighbour": 13, "pai": 13, "attent": 13, "challeng": [13, 32, 33, 34, 35, 36, 37, 38, 42, 43, 45, 47, 57, 58, 60, 93, 94, 113, 114, 122], "experi": [13, 20, 42, 47], "ram": [13, 42, 47], "long": 13, "comput": 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SMAC3 Documentation

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v2.0.2

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Computation times

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04:21.014 total execution time for 11 files from all galleries:

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Example
Time
Mem (MB)
Multi-Layer Perceptron Using Multiple Epochs (../examples/2_multi_fidelity/1_mlp_epochs.py)
02:28.424
0.0
Stochastic Gradient Descent On Multiple Datasets (../examples/2_multi_fidelity/2_sgd_datasets.py)
00:35.078
0.0
ParEGO (../examples/3_multi_objective/2_parego.py)
00:34.296
0.0
User Priors over the Optimum (../examples/1_basics/6_priors.py)
00:24.000
0.0
2D Schaffer Function with Objective Weights (../examples/3_multi_objective/1_schaffer.py)
00:08.490
0.0
Call Target Function From Script (../examples/5_commandline/1_call_target_function_script.py)
00:03.944
0.0
Ask-and-Tell (../examples/1_basics/3_ask_and_tell.py)
00:02.636
0.0
Quadratic Function (../examples/1_basics/1_quadratic_function.py)
00:02.398
0.0
Continue an Optimization (../examples/1_basics/5_continue.py)
00:00.814
0.0
Support Vector Machine with Cross-Validation (../examples/1_basics/2_svm_cv.py)
00:00.788
0.0
Custom Callback (../examples/1_basics/4_callback.py)
00:00.147
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