1.6.2
1.6.2 (TBD)
Bug Fixes
-
Modeling: Support XGBoost version that is larger than 2.
-
Data: Fix multiple epoch iteration over
DataConnector.to_torch_datapipe()
DataPipes. -
Generic: Fix a bug that when an invalid name is provided to argument where fully qualified name is expected, it will
be parsed wrongly. Now it raises an exception correctly. -
Model Explainability: Handle explanations for multiclass XGBoost classification models
-
Model Explainability: Workarounds and better error handling for XGB>2.1.0 not working with SHAP==0.42.1
New Features
- Data: Add top-level exports for
DataConnector
andDataSource
tosnowflake.ml.data
. - Data: Add native batching support via
batch_size
anddrop_last_batch
arguments toDataConnector.to_torch_dataset()
- Feature Store: update_feature_view() supports taking feature view object as argument.