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Changelog

Full Changelog

Implemented enhancements:

  • Change versioning #81
  • Enforce a code style #78

Fixed bugs:

  • Prepend hostname to the PID for queue checking #80
  • Fix codacy issues #58
  • "scaling" portion of code is confusing #53

Closed issues:

  • Update help link to new forum #82
  • upgrade pymongo version #72

Merged pull requests:

v2019.9.12 (2019-09-11)

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v2019.9.11 (2019-09-11)

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Closed issues:

  • General comment on code and examples #56

v2019.6.5 (2019-06-05)

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v2019.6.4 (2019-06-05)

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v2019.5.3 (2019-05-04)

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v2019.5.2 (2019-05-04)

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v2019.4.17 (2019-04-18)

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Closed issues:

  • add paper citation to rocketsled #42

v2019.3.15 (2019-03-16)

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Closed issues:

  • Transition to unittest #64
  • Comprehensive guide needs update #59
  • tutorial rework #55

v2019.2.27 (2019-02-27)

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Merged pull requests:

v2019.2.17 (2019-02-19)

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Merged pull requests:

  • Minor corrections to the tutorial and examples #63 (RemiLehe)

v2019.1.1 (2019-01-01)

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v2018.12.30 (2019-01-01)

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v2018.12.31 (2019-01-01)

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Closed issues:

  • Most type checking and metadata can be stored as central db doc #57
  • don't understand check_dims #50
  • make sure all instance attributes are only set in the __init__ method() #48

v2018.12.26 (2018-12-27)

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Closed issues:

  • suggest rename _x_opt and _y_opt to simply _x and _y #54
  • better documentation for example tasks #52
  • add docs to return_means #51
  • why is XZ_new one variable? #49
  • rename n_boots n_bootstrap #47
  • "Attributes" section of docstring #46
  • remove random_proba #45
  • suggest rename of "space" parameter to "dimensions_file" #44
  • remove db name, host, port, and db_extras from OptTask #43
  • Batch mode may produce duplicates #36
  • Add ability to disable duplicate checking and actually run optimizations in parallel #11

1.1 (2018-07-30)

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Closed issues:

  • Rename XZ* to Z* #40
  • Docs should be revised #39
  • Remove hyperparameter optimization + useless optimizers #38
  • Add to analyze/visualize (and _predict?) Ability to rank pareto solutions #35
  • Mutli-objective optimizations only seem to maximize #34
  • Convert dtypes to namedtuple #32
  • Python 3 bson issue #31
  • Add ability to use x only as an index, or unique tag, not as learning features #30
  • Figure out a good way to scale data for optimizers... #29
  • Fix LCB for acquisition function #28
  • Add logging/verbosity #27
  • Add Other optimization algorithms #26
  • Speed improvements #25
  • Figure out parallel bootstrapping #24
  • Choose a good number of default bootstraps #23
  • Change random_interval to a probability #22
  • Write tests for parallel duplicates #21
  • Make better docs/tutorials #20
  • Stop rs_examples/benchmarks being its own package #19
  • Decide on a way to store models persistently #18
  • Make an auto-setup #17
  • Add tags to each mongo doc? #16
  • Various probabilistic functions for sampling spaces #15
  • Add uncertainty estimation + more advanced methods of prediction #14
  • Decide on whether hyperparameter optimization is actually useful #13
  • Multi objective optimization #12
  • examples should not use default FireWorks database #6
  • docstring style should be Google #5
  • close issues when done! #4
  • rename root dir #3
  • remove launcher_* dirs from github #2
  • remove .idea from github repo #1

Merged pull requests:

  • Fix LCB and add hyper-parameters to acq functions #41 (spacedome)

* This Changelog was automatically generated by github_changelog_generator