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RELEASE.md

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Version 0.28.0

Major Features and Improvements

  • Add a new base computation for binary confusion matrix (other than based on calibration histogram). It also provides a sample of examples for the confusion matrix.
  • Adding two new metrics - Flip Count and Flip Rate to evaluate Counterfactual Fairness.

Bug fixes and other Changes

  • Fixed division by zero error for diff metrics.
  • Depends on apache-beam[gcp]>=2.28,<3.
  • Depends on numpy>=1.16,<1.20.
  • Depends on tensorflow-metadata>=0.28.0,<0.29.0.
  • Depends on tfx-bsl>=0.28.0,<0.29.0.

Breaking Changes

  • N/A

Deprecations

  • N/A