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Releases: feathr-ai/feathr

v0.5.1: Improved feature registry experiences, using Maven package for Feathr jobs, and API improvement

29 Jul 18:39
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Highlighted Features:

This release contains a lot of important bug fixes and new features.

Features

Improvements:

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New Contributors

Full Changelog: v0.4.0...v0.5.1

v0.4.0: Add streaming support and improve onboarding experiences

03 May 02:53
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In this release, we have accomplished:

  1. Feature streaming. Now you can transform your raw data from a streaming source and ingest the features into your online store in a much faster way compared with offline ingestion.
  2. A lot of improvements on our documentation, including Feathr Concepts for Beginners and Python API documentation.
  3. Improved new user installation and onboarding experiences.

Highlighted Changes

New Community Contributors

Full Changelog: v0.3.0...v0.4.0

v0.3.0: Support PySpark UDF, one click deploy experience, Delta Lake Support

12 Apr 06:03
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In this release, we have added:

  1. PySpark UDF preprocessing. Now users can define UDFs with all the capabilities that PySpark has.
  2. Enhanced Feature Registry experience. Note: users might need to manually update the feature definitions in the purview service. This is a one-time work and future updates will be backward compatible.
  3. Added one-click Azure resource provision and deployment. Users can deploy resources with Azure template.
  4. Supported Delta Lake and more formats as input/output format.
  5. Bug fixes and documentation improvement.

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New Contributors

Full Changelog: v0.2.1...v0.3.0

v0.2.1: Add Python API and enhance notebook experiences

23 Mar 06:26
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Based on popular demand, we are

  • Adding Python API to define features, join features and deploy features
  • Further enhance notebook experiences
  • Bug fixes.

Public Preview Release

07 Mar 07:43
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Hello world!
We are excited to announce Feathr public preview release v0.1.0.
Please try it out and join our community. We are looking forward to hearing feedback from you!