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