1.6.0

1.6.0

Bug Fixes

• Modeling: SimpleImputer can impute integer columns with integer values.
• Registry: Fix an issue when providing a pandas Dataframe whose index is not starting from 0 as the input to
  the ModelVersion.run.

New Features

• Feature Store: Add overloads to APIs accept both object and name/version. Impacted APIs include read_feature_view(),
  refresh_feature_view(), get_refresh_history(), resume_feature_view(), suspend_feature_view(), delete_feature_view().
• Feature Store: Add docstring inline examples for all public APIs.
• Feature Store: Add new utility class ExampleHelper to help with load source data to simplify public notebooks.
• Registry: Option to enable_explainability when registering XGBoost models as a pre-PuPr feature.
• Feature Store: add new API update_entity().
• Registry: Option to enable_explainability when registering Catboost models as a pre-PuPr feature.
• Feature Store: Add new argument warehouse to FeatureView constructor to overwrite the default warehouse. Also add
  a new column 'warehouse' to the output of list_feature_views().
• Registry: Add support for logging model from a model version.
• Modeling: Distributed Hyperparameter Optimization now announce GA refresh version. The latest memory efficient version
  will not have the 10GB training limitation for dataset any more. To turn off, please run
  from snowflake.ml.modeling._internal.snowpark_implementations import ( distributed_hpo_trainer, ) distributed_hpo_trainer.ENABLE_EFFICIENT_MEMORY_USAGE = False
• Registry: Option to enable_explainability when registering LightGBM models as a pre-PuPr feature.

Behavior Changes

• Feature Store: change some positional parameters to keyword arguments in following APIs:
  • Entity(): desc.
  • FeatureView(): timestamp_col, refresh_freq, desc.
  • FeatureStore(): creation_mode.
  • update_entity(): desc.
  • register_feature_view(): block, overwrite.
  • list_feature_views(): entity_name, feature_view_name.
  • get_refresh_history(): verbose.
  • retrieve_feature_values(): spine_timestamp_col, exclude_columns, include_feature_view_timestamp_col.
  • generate_training_set(): save_as, spine_timestamp_col, spine_label_cols, exclude_columns,
    include_feature_view_timestamp_col.
  • generate_dataset(): version, spine_timestamp_col, spine_label_cols, exclude_columns,
    include_feature_view_timestamp_col, desc, output_type.