TensorFlow Model Analysis 0.33.0

Major Features and Improvements

• Provided functionality for slice_keys_sql config. It's not available under
  Windows.

Bug fixes and other Changes

• Improve rendering of HTML stubs for TFMA and Fairness Indicators UI.
• Update README for JupyterLab 3
• Provide implementation of ExactMatch metric.
• Jackknife CI method now works with cross-slice metrics.
• Depends on apache-beam[gcp]>=2.31,<3.
• Depends on tensorflow-metadata>=1.2.0,<1.3.0.
• Depends on tfx-bsl>=1.2.0,<1.3.0.

Breaking Changes

• The binary_confusion_matrices metric formerly returned confusion matrix
  counts (i.e number of {true,false} {positives,negatives}) and optionally a
  set of representative examples in a single object. Now, this metric class
  generates two separate metrics values when examples are configured: one
  containing just the counts, and the other just examples. This should only
  affect users who created a custom derived metric that used
  binary_confusion_matrices metric as an input.

Deprecations

• N/A