0.6.1
Bug fixes:
- Ensure correct metrics despite model failures on some CV folds #404
- Fix flaky
ModelInsight
tests #395 - Avoid creating
SparseVector
s for LOCO #377
New features / updates:
- Model combiner #385
- Added new sample for HousingPrices #365
- Test to verify that custom metrics appear in model insight metrics #387
- Add
FeatureDistribution
toSerializationFormat
s #383 - Add metadata to
OpStandadrdScaler
to allow for descaling #378 - Improve json serde error in
evalMetFromJson
#380 - Track mean & standard deviation as metrics for numeric features and for text length of text features #354
- Making model selectors robust to failing models #372
- Use compact and compressed model json by default #375
- Descale feature contribution for Linear Regression & Logistic Regression #345
Dependency updates:
- Update tika version #382