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_*.