The Databricks Feature Engineering client is used to:
- Create, read, and write feature tables
- Train models on feature data
- Publish feature tables to online stores for real-time serving
- Upgrade workspace feature table metadata to Unity Catalog
Documentation
Documentation can be found per-cloud at:
For release notes, see
Limitations
This library can only run on Databricks runtimes. It can be installed locally or in CI/CD environments for unit testing.
Metadata
Release files for databricks-feature-engineering 0.18.3
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| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| databricks_feature_engineering-0.18.3-py3-none-any.whl | Python 3 | none | any | Details for databricks_feature_engineering-0.18.3-py3-none-any.whl |
Release files / databricks_feature_engineering-0.18.3-py3-none-any.whl
| Download URL | databricks_feature_engineering-0.18.3-py3-none-any.whl |
|---|---|
| Size | 466.6 kB |
| Tags | Python 3 |
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twine/6.1.0 CPython/3.13.7
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