1.8.2

1.8.2

Bug Fixes

Behavior Change

New Features

• ML Job now available as a PuPr feature
• ML Job: Add ability to retrieve results for @remote decorated functions using
  new MLJobWithResult.result() API, which will return the unpickled result
  or raise an exception if the job execution failed.
• ML Job: Pre-created Snowpark Session is now available inside job payloads using
  snowflake.snowpark.context.get_active_session()
• Registry: Introducing save_location to log_model using the options argument.
  User's can provide the path to write the model version's files that get stored in Snowflake's stage.
• Registry: Include model dependencies in pip requirements by default when logging in Container Runtime.

reg.log_model(
    model=...,
    model_name=...,
    version_name=...,
    ...,
    options={"save_location": "./model_directory"},
)

• ML Job (PrPr): Add instance_id argument to get_logs and show_logs method to support multi node log retrieval
• ML Job (PrPr): Add job.get_instance_status(instance_id=...) API to support multi node status retrieval