1.8.4

1.8.4

Bug Fixes

• Registry: Default enable_explainability to True when the model can be deployed to Warehouse.
• Registry: Add custom_model.partitioned_api decorator and deprecate partitioned_inference_api.
• Registry: Fixed a bug when logging pytroch and tensorflow models that caused
  UnboundLocalError: local variable 'multiple_inputs' referenced before assignment.

Breaking change

• ML Job: Updated property id to be fully qualified name; Introduced new property name to represent the ML Job name
• ML Job: Modified list_jobs() to return ML Job name instead of id
• Registry: Error in log_model if enable_explainability is True and model is only deployed to
  Snowpark Container Services, instead of just user warning.

New Features

• ML Job: Extend @remote function decorator, submit_file() and submit_directory() to accept database and
  schema parameters
• ML Job: Support querying by fully qualified name in get_job()
• Explainability: Added visualization functions to snowflake.ml.monitoring to plot explanations in notebooks.
• Explainability: Support explain for categorical transforms for sklearn pipeline
• Support categorical type for xgboost.DMatrix inputs.