Skip to content

Latest commit

 

History

History
173 lines (132 loc) · 5.45 KB

CHANGELOG.md

File metadata and controls

173 lines (132 loc) · 5.45 KB
Raw

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[1.8.5] - 2021-08-24

Improvements in this release:

  • Docs and docstrings improvements for stats tests #158

[1.8.4] - 2021-06-16

Improvements in this release:

  • Fix the bug in the Shap Dependence Plot #153
  • Add HowTo guide for using grouped data #154

[1.8.3] - 2021-06-15

Improvements in this release:

  • Fix p-value calculation in PSI #142

[1.8.2] - 2021-05-04

Improvements in this release:

  • Fix catboost bug when calculating SHAP values #147
  • Supply eval_sample_weight for fit in EarlyStoppingShapRFECV #144
  • Remove codecov.io #145
  • Remove sample_row from probatus #140

[1.8.1] - 2021-04-18

Improvements in this release:

  • Enable use of sample_weight in ShapRFECV and EarlyStoppingShapRFECV #139
  • Fix bug in EarlyStoppingShapRFECV #139
  • Fix issue with categorical features in SHAP #138
  • Missing values handled by AutoDist #126
  • Fix issue with missing histogram in DependencePlot #137

[1.8.0] - 2021-04-14

Improvements in this release:

  • Implemented EarlyStoppingShapRFECV #108
  • Added support for Python 3.9 #132

[1.7.1] - 2021-04-13

Improvements in this release:

  • Add error if model pipeline passed to SHAP #129
  • Fixed PSI bug with empty bins #116
  • Unit tests are run daily #113
  • TreeBucketer has been refactored #124
  • Fixes to failing test pipeline #120
  • Improving language in docs #109, #107

[1.7.0] - 2021-03-16

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

[1.6.2] - 2021-03-10

Improvements in this release:

  • Bugfix, allow passing kwargs to dependence plot in ShapModelInterpreter #90

[1.6.1] - 2021-03-09

Improvements in this release:

  • Added ShapRFECV support for all sklearn compatible search CVs. #76 #49

[1.6.0] - 2021-03-01

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

[1.5.1] - 2020-12-04

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

[1.5.0] - 2020-11-18

  • Improve SHAP RFECV API and documentation

[1.4.4] - 2020-11-11

  • Fix issue with the distribution uploaded to pypi

[1.4.0] - 2020-11-10 (Broken)

  • Add SHAP RFECV for features elimination

[1.3.0] - 2020-11-05 (Broken)

  • Add SHAP Model Inspector with docs and tests

[1.2.0] - 2020-09-30

  • Add resemblance model, with SHAP based importance
  • Improve the docs for resemblance model
  • Refactor stats tests, improve docs and expose functionality to users

[1.1.1] - 2020-09-08

  • Improve Tree Bucketer, enable user to pass own tree object

[1.1.0] - 2020-08-24

  • Improve docs for stats_tests
  • Refactor stats_tests

[1.0.1] - 2020-08-07

  • TreeBucketer, which bins the data based on the target distribution, using Decision Trees fitted on a single feature
  • PSI calculation includes the p-values calculation

[1.0.0] - 2020-02-24

  • metric_volatility and sample_similarity rebuilt
  • New documentation
  • Faster tests
  • Improved and simplified API
  • Scorer class added to the package
  • Removed data from repository
  • Hiding unfinished functionality from the user

[0.1.3] - 2020-02-24

Added

  • VolalityEstimation now has random_seed argument

Changed

  • Improved unit testing
  • Improved documentation README and CONTRIBUTING

Fixed

  • Added dependency on scipy 1.4+

[0.1.2] - 2019-10-29

Added

  • Readthedocs documentation website

[0.1.1] - 2019-10-09

Added

  • Added CHANGELOG.md

Changed

  • Renamed to probatus
  • Improved testing by adding pyflakes to CI
  • probatus.metric_uncertainty.VolatilityEstimation is now deterministic, added random_state parameter

0.1.0 - 2019-09-21

Initial release, commit ecbd0d08a6eea370afda4a4790edeb4ee382995c