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@jklaise jklaise released this 11 Jan 16:52
· 112 commits to master since this release
v0.9.0
84f7d57

v0.9.0 (2023-01-11)

Full Changelog

Added

  • New feature PermutationImportance explainer implementing the permutation feature importance global explanations. Also included is a plot_permutation_importance utility function for flexible plotting of the resulting feature importance scores (docs, #798).
  • New feature PartialDependenceVariance explainer implementing partial dependence variance global explanations. Also included is a plot_pd_variance utility function for flexible plotting of the resulting PD variance plots (docs, #758).

Fixed

  • GradientSimilarity explainer now automatically handles sparse tensors in the model by converting the gradient tensors to dense ones before calculating similarity. This used to be a source of bugs when calculating similarity for models with embedding layers for which gradients tensors are sparse by default. Additionally, it now filters any non-trainable parameters and doesn't consider those in the calculation as no gradients exist. A warning is raised if any non-trainable layers or parameters are detected (#829).
  • Updated the discussion of the interpretation of ALE. The previous examples and documentation had some misleading claims; these have been removed and reworked with an emphasis on the mostly qualitative interpretation of ALE plots (#838, #846).

Changed

  • Deprecated the use of the legacy Boston housing dataset in examples and testing. The new examples now use the California housing dataset (#838, #834).
  • Modularized the computation of prototype importances and plotting for ProtoSelect, allowing greater flexibility to the end user (#826).
  • Roadmap documentation page removed due to going out of date (#842).

Development

  • Tests added for tensorflow models used in CounterfactualRL (#793).
  • Tests added for pytorch models used in CounterfactualRL (#799).
  • Tests added for ALE plotting functionality (#816).
  • Tests added for PartialDependence plotting functionality (#819).
  • Tests added for PartialDependenceVariance plotting functionality (#820).
  • Tests added for PermutationImportance plotting functionality (#824).
  • Tests addef for ProtoSelect plotting functionality (#841).
  • Tests added for the datasets subpackage (#814).
  • Fixed optional dependency installation during CI to make sure dependencies are consistent (#817).
  • Synchronize notebook CI workflow with the main CI workflow (#818).
  • Version of pytest-cov bumped to 4.x (#794).
  • Version of pytest-xdist bumped to 3.x (#808).
  • Version of tox bumped to 4.x (#832).
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