Releases: ing-bank/probatus
Releases · ing-bank/probatus
probatus 1.7.0
Improvements in this release:
- Create a comparison of imputation strategies #86
- Added support for passing check_additivity argument #103
- Range of code styling issues fixed, based on precommit config #100
- Renamed TreeDependencePlotter to DependencePlotter and exposed the docs #94
- Enable instalation of extra dependencies #97
- Added how to notebook to ensure reproducibility #99
- Description of vision of probatus #91
probatus 1.6.2
Improvements in this release:
- Bugfix, allow passing kwargs to dependence plot in ShapModelInterpreter #90
probatus 1.6.1
probatus 1.6.0
Improvements in this release:
- Added features list to README #53
- Added docs for sample row functionality #54
- Added 'open in colab' badges to tutorial notebooks #56
- Deploy documentation on release #47
- Added columns_to_keep for shap feature elimination #63
- Updated docs for usage of columns to keep functionality in SHAPRFECV #66
- Added shap support for linear models #69
- Installed probatus in colab notebooks #80
- Minor infrastructure tweaks #81
probatus 1.5.1
Various improvements to the consistency and usability of the package
- Unit test docstring and notebooks #41
- Unified scoring metric within probatus #27
- Improve docstrings consistency documentation #25
- Implemented unified interface #24
- Added images to API docs documentation #23
- Added verbose parameter to ShapRFECV #21
- Make API more consistent #19
- Set model parameter name to clf across probatus
- Set default random_state to None
- Ensure that verbose is used consistently in probatus
- Unify parameter class_names for classes in which it is relevant
- Add return scores parameter to compute wherever applicable
- Add sample row functionality to utils #17
- Make an experiment comparing sklearn.RFECV with ShapRFECV #16
- ShapModelInterpreter calculate train set feature importance #13
probatus 1.5.0
Improved
- Docs and API of ShapRFECV #11