0.2

This is a first tag for SKADA. The library is still under heavy development and should not be used in production. API will definitely change in the future.

What's Changed

• Fix merge conflic in losses module by @kachayev in #23
• Follow github block-quote markdown syntax for the README by @kachayev in #22
• [MRG] CirleCI documentation by @rflamary in #26
• [MRG] Doc circleCI by @rflamary in #30
• Pipeline to respect default_selector parameters by @kachayev in #29
• [MRG] Debug examples by @rflamary in #31
• The selector to pass the params to the base estimator by @kachayev in #35
• Add code cells markup for dataset examples to make them interactive by @kachayev in #39
• Fix label masking for training dataset by @kachayev in #40
• make_da_pipeline helper to allow named estimators by @kachayev in #37
• Rename pack_flatten to pack_for_lodo by @kachayev in #27
• [DOC] Corrections README and string for DomainAware dataset by @YanisLalou in #42
• Rename Bunch keys by @YanisLalou in #44
• [DOC] Small README fix by @YanisLalou in #52
• [WIP] Add testing with minimal install and update it to use pip by @rflamary in #48
• [FIX] Switch NotImplementedError to ValueError + New test cases by @YanisLalou in #50
• Flake8 correction for _samples_generator.py by @YanisLalou in #54
• Additional flake8 fixes by @kachayev in #55
• Remove version for POT by @kachayev in #57
• DomainAwareDataset str repr edge case handling by @YanisLalou in #49
• Switch from dev0 to stable sklearn 1.4.0 by @kachayev in #60
• [FIX] Unwrap expliticly given selector before generating the name for the pipeline by @YanisLalou in #51
• [MRG] Make sure all API methods accept sample_domain as None by @YanisLalou in #53
• Fix flake8 errors by @kachayev in #62
• Doc fix by @YanisLalou in #66
• [MRG] Add test cases for the Reweight class by @YanisLalou in #70
• [TO_REVIEW] Using global variables instead of number by @YanisLalou in #68
• [TO_REVIEW] Switch allow_source to True by default by @YanisLalou in #64
• [Fix] Update flake8.yaml to actually run! by @rflamary in #72
• Fix flake8 for utils and tests by @kachayev in #73
• [MRG] Regression label for 2d classification data generation by @BuenoRuben in #69
• [WIP] Update test suite for base selector functionality by @kachayev in #74
• Fix masked inputs filtering in the base selector for regression tasks by @kachayev in #86
• [MRG] JDOT Regressor by @rflamary in #76
• Properly process sample_weight when using reweight adapters by @kachayev in #90
• Remove target labels in the method comparison example by @antoinedemathelin in #92
• [MRG] Modification source_target_merge function behaviours by @YanisLalou in #71
• [MRG] PredictionEntropyScorer output negative scores by @YanisLalou in #63

New Contributors

• @kachayev made their first contribution in #23
• @rflamary made their first contribution in #26
• @YanisLalou made their first contribution in #42
• @BuenoRuben made their first contribution in #69
• @antoinedemathelin made their first contribution in #92

Full Changelog: https://github.com/scikit-adaptation/skada/commits/0.2