1.5.4

1.5.4

Bug Fixes

• Model Registry (PrPr): Fix 401 Unauthorized issue when deploying model to SPCS.
• Feature Store: Downgrades exceptions to warnings for few property setters in feature view. Now you can set
  desc, refresh_freq and warehouse for draft feature views.
• Modeling: Fix an issue with calling OrdinalEncoder with categories as a dictionary and a pandas DataFrame
• Modeling: Fix an issue with calling OneHotEncoder with categories as a dictionary and a pandas DataFrame

New Features

• Registry: Allow overriding device_map and device when loading huggingface pipeline models.
• Registry: Add set_alias method to ModelVersion instance to set an alias to model version.
• Registry: Add unset_alias method to ModelVersion instance to unset an alias to model version.
• Registry: Add partitioned_inference_api allowing users to create partitioned inference functions in registered
  models. Enable model inference methods with table functions with vectorized process methods in registered models.
• Feature Store: add 3 more columns: refresh_freq, refresh_mode and scheduling_state to the result of
  list_feature_views().
• Feature Store: update_feature_view() supports updating description.
• Feature Store: add new API refresh_feature_view().
• Feature Store: add new API get_refresh_history().
• Feature Store: Add generate_training_set() API for generating table-backed feature snapshots.
• Feature Store: Add DeprecationWarning for generate_dataset(..., output_type="table").
• Feature Store: update_feature_view() supports updating description.
• Feature Store: add new API refresh_feature_view().
• Feature Store: add new API get_refresh_history().
• Model Development: OrdinalEncoder supports a list of array-likes for categories argument.
• Model Development: OneHotEncoder supports a list of array-likes for categories argument.