Version 0.1.18

v0.1.18 - 2019-10-09

Added

• Added "main_attr" argument to EBM models. Can now select a subset of features to train main effects on.
• Added AzureML notebook VM detection for visualizations (switches to inline).

Fixed

• Missing values now correctly throw exceptions on explainers.
• Major visualization fix for pairwise interaction heatmaps from EBM.
• Corrected inline visualization height in Notebooks.

Changed

• Various internal C++ fixes.
• New error messages around EBM if the model isn't fitted before calling explain_*.

Version 0.1.17

v0.1.17 - 2019-09-24

Fixed

• Morris sensitivity now works for both predict and predict_proba on scikit models.
• Removal of debug print statements around blackbox explainers.

Changed

• Dependencies for numpy/scipy/pandas/scikit-learn relaxed to (1.11.1,0.18.1,0.19.2, 0.18.1) respectively.
• Visualization provider defaults set by environment detection (cloud and local use different providers).

Experimental (WIP)

• Inline visualizations for show(explanation). This allows cloud notebooks, and offline notebook support.
  Dashboard integration still ongoing.

Version 0.1.16

v0.1.16 - 2019-09-17

Added

• Visualize and compute platforms are now refactored and use an extension system. Details on use upcoming in later release.
• Package interpret is now a meta-package using interpret-core.
  This enables partial installs via interpret-core for production environments.

Fixed

• Updated SHAP dependency to require dill.

Experimental (WIP)

• Greybox introduced (explainers that only work for specific types of models). Starting with SHAP tree and TreeInterpreter.
• Extension system now works across all explainer types and providers.

Version 0.1.15

v0.1.15 - 2019-08-26

Experimental (WIP)

• Multiclass EBM added. Includes visualization and postprocessing. Currently does not support multiclass pairs.

Version 0.1.14

v0.1.14 - 2019-08-20

Fixed

• Fixed occasional browser crash relating to density graphs.
• Fixed decision trees not displaying in Jupyter notebooks.

Changed

• Dash components no longer pinned. Upgraded to latest.
• Upgrade from dash-table-experiment to dash-table.
• Numerous renames within native code.

Experimental (WIP)

• Explanation data methods for PDP, EBM enabled for mli interop.

Version 0.1.13

v0.1.13 - 2019-08-14

Added

• EBM has new parameter 'binning_strategy'. Can now support quantile based binning.
• EBM now gracefully handles many edge cases around data.
• Selenium support added for visual smoke tests.

Fixed

• Method debug_mode now works in wider environments including WSL.
• Linear models in last version returned the same graphs no matter the selection. Fixed.

Changed

• Testing requirements now fully separate from default user install.
• Internal EBM class has many renames associated with native codebase. Attribute has been changed to Feature.
• Native codebase has many renames. Diff commits from v0.1.12 to v0.1.13 for more details.
• Dependency gevent lightened to take 1.3.6 or greater. This affects cloud/older Python environments.
• Installation for interpret package should now be 'pip install -U interpret'.
• Removal of skope-rules as a required dependency. User now has to install it manually.
• EBM parameter 'cont_n_bins' renamed to 'max_n_bins'.

Experimental (WIP)

• Extensions validation method is hardened to ensure blackbox specs are closely met.
• Explanation methods data and visual, require key of form ('mli', key), to access mli interop.

Version 0.1.12

v0.1.12

Bump to v0.1.12

Version 0.1.11

v0.1.11

Bump to v0.1.11

Version 0.1.10

v0.1.10

Included requests as dependency.

Version 0.1.9

v0.1.9

Bumped to v0.1.9