- Provided functionality for
slice_keys_sqlconfig. It's not available under Windows.
- 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.
- 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.
- N/A