Databricks Python SDK v0.138.0 Enhances API with New Fields
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Databricks Python SDK v0.138.0 is now available, introducing new API fields across several services. These additions enhance support for AI Runtime tasks, ML Feature Views, and ML Model Publishing specifications. Developers using the SDK can now leverage richer configurations for their machine learning workflows and data pipelines. The update primarily involves additive API changes, ensuring broader capability without introducing breaking changes.
- →Add unity_catalog_image_path field for databricks.sdk.service.jobs.AiRuntimeTask
- →Add feature_view_source field for databricks.sdk.service.ml.DataSource
- →Add budget_policy_id and tags fields for databricks.sdk.service.ml.PublishSpec
- →Add development field for databricks.sdk.service.pipelines.StartUpdate
Enhancements (4) ›
- Add unity_catalog_image_path field for databricks.sdk.service.jobs.AiRuntimeTask
- Add feature_view_source field for databricks.sdk.service.ml.DataSource
- Add budget_policy_id and tags fields for databricks.sdk.service.ml.PublishSpec
- Add development field for databricks.sdk.service.pipelines.StartUpdate
Read the original announcement →
https://github.com/databricks/databricks-sdk-py/releases/tag/v0.138.0
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