ReleaseBytes
databricks Databricks Python SDK Releases · · 0.136.0

Databricks SDK for Python v0.136.0 Adds New Domain and ML Features

sdkmldatabricksengineer
patch

The Databricks SDK for Python v0.136.0 introduces a new `databricks.sdk.service.domains` package and a workspace-level domains service, expanding programmatic management of Databricks domains. It also adds several new fields to the `databricks.sdk.service.ml` package, enhancing capabilities for feature stores and machine learning components. These updates provide Python developers with more granular control and flexibility when interacting with Databricks machine learning and domain services.

  • →Add databricks.sdk.service.domains package
  • →Add w.domains workspace-level service
  • →Add entity_columns and timeseries_column fields for databricks.sdk.service.ml.DeltaTableSource
  • →Add filter_condition and inputs fields for databricks.sdk.service.ml.Feature
  • →Add extra_parameters and function_type fields for databricks.sdk.service.ml.Function
Enhancements (8) ›
  • Add databricks.sdk.service.domains package
  • Add w.domains workspace-level service
  • Add entity_columns and timeseries_column fields for databricks.sdk.service.ml.DeltaTableSource
  • Add filter_condition and inputs fields for databricks.sdk.service.ml.Feature
  • Add extra_parameters and function_type fields for databricks.sdk.service.ml.Function
  • Add entity_column_identifiers and timeseries_column_identifier fields for databricks.sdk.service.ml.KafkaSource
  • Add cron_schedule field for databricks.sdk.service.ml.MaterializedFeature
  • Add continuous field for databricks.sdk.service.ml.TimeWindow
Read the original announcement →

https://github.com/databricks/databricks-sdk-py/releases/tag/v0.136.0

Related releases