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databricks Databricks Python SDK Releases · · 0.137.0

Databricks Python SDK v0.137.0 Enhances Feature Engineering and ML Metadata APIs

sdkmldatabricksgaengineer
patch

The Databricks Python SDK v0.137.0 introduces new API methods and fields, expanding programmatic control over machine learning workflows. This release adds a `purge_feature_entities()` method for workspace-level feature engineering services. It also includes new `deny` fields for Catalog policies and `budget_policy_id` and `tags` fields for ML ingestion configurations and materialized features. These updates enable more granular policy enforcement and metadata tracking for MLOps practitioners using the SDK.

  • →Add purge_feature_entities() method for w.feature_engineering workspace-level service
  • →Add deny field for databricks.sdk.service.catalog.PolicyInfo
  • →Add budget_policy_id and tags fields for databricks.sdk.service.ml.IngestionConfig
  • →Add budget_policy_id and tags fields for databricks.sdk.service.ml.MaterializedFeature
  • →Add policy_type_deny enum value for databricks.sdk.service.catalog.PolicyType
Enhancements (5) ›
  • Add purge_feature_entities() method for w.feature_engineering workspace-level service
  • Add deny field for databricks.sdk.service.catalog.PolicyInfo
  • Add budget_policy_id and tags fields for databricks.sdk.service.ml.IngestionConfig
  • Add budget_policy_id and tags fields for databricks.sdk.service.ml.MaterializedFeature
  • Add policy_type_deny enum value for databricks.sdk.service.catalog.PolicyType
Read the original announcement →

https://github.com/databricks/databricks-sdk-py/releases/tag/v0.137.0

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