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Version 0.1.18

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@interpret-ml interpret-ml released this 10 Oct 02:01

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_*.