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CHANGELOG.md

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Changelog

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

The format is based on Keep a Changelog.

Unreleased

0.42.0 - 2023-07-05

This release incorporates many changes that were originally contributed by the SHAP community via @dsgibbons's Community Fork, which has now been merged into the main shap repository. PRs from this origin are labelled here as fork#123.

Added

  • Added support for python 3.11 (fork#72 by @connortann).
  • Added n_points parameter to all functions in shap.datasets (fork#39 by @thatlittleboy).
  • Added __call__ to KernelExplainer (#2966 by @dwolfeu).
  • Added contributing guidelines (#2996 by @connortann).

Fixed

  • Fixed plot.waterfall to support yticklabels with boolean features (fork#58 by @dwolfeu).
  • Prevent TreeExplainer.__call__ from throwing ValueError when passed a pandas DataFrame containing Categorical columns (fork#88 by @thatlittleboy).
  • Fixed sampling in shap.datasets to sample without replacement (fork#36 by @thatlittleboy).
  • Fixed an UnboundLocalError problem arising from passing a dictionary input to shap.plots.bar (#3001 by @thatlittleboy). (fork#36 by @thatlittleboy).
  • Fixed an UnboundLocalError problem arising from passing a dictionary input to shap.plots.bar (#3001 by @thatlittleboy).
  • Fixed tensorflow import issue with Pyspark when using Gradient (#2983 by @skamdar).
  • Fixed the aspect ratio of the colorbar in shap.plots.heatmap, and use the ax matplotlib API internally for plotting (#3040 by @thatlittleboy).
  • Fixed deprecation warnings for numba>=0.44 (fork#9 and fork#68 by @connortann).
  • Fixed deprecation warnings for numpy>=1.24 from numpy types (fork#7 by @dsgibbons).
  • Fixed deprecation warnings for Ipython>=8 from Ipython.core.display (fork#13 by @thatlittleboy).
  • Fixed deprecation warnings for tensorflow>=2.11 from tf.optimisers (fork#16 by @simonangerbauer).
  • Fixed deprecation warnings for sklearn>=1.2 from sklearn.linear_model (fork#22 by @dsgibbons).
  • Fixed deprecation warnings for xgboost>=1.4 from ntree_limit in tree explainer (#2987 by @adnene-guessoum).
  • Fixed build on Windows and MacOS (#3015 by @PrimozGodec; #3028, #3029 and #3031 by @connortann).

Changed

  • Updates to docstrings of several shap.plots functions (#3003, #3005 by @thatlittleboy).

Removed

  • Deprecated the Boston house price dataset (fork#38 by @thatlittleboy).
  • Removed the unused mimic.py file and MimicExplainer code (fork#53 by @thatlittleboy).

Maintenance

  • Fixed failing unit tests (fork#29 by @dsgibbons, fork#20 by @simonangerbauer, #3044 and fork#24 by @connortann).
  • Include CUDA GPU C extension files in the source distribution (#3009 by @jklaise).
  • Fixed installation of package via setuptools (fork#51 by @thatlittleboy).
  • Introduced a minimal set of ruff linting (fork#25, fork#26, fork#27, #2973, #2972 and #2976 by @connortann; #2968, #2986 by @thatlittleboy).
  • Updated project metadata to PEP 517 (#3022 by @connortann).
  • Introduced more thorough testing on CI against newer dependencies (fork#61 and #3017 by @connortann)
  • Reduced unit test time by ~5 mins (#3046 by @connortann).
  • Introduced fixtures for reproducible fuzz testing (#3048 by @connortann).

[0.41.0] - 2022-06-16

For details of previous changes, see the release page on GitHub here.