- Added support for output aggregation.
- For lift metrics, support negative values in the Fairness Indicator UI bar chart.
- Make legacy predict extractor also input/output batched extracts.
- Updated to use new compiled_metrics and compiled_loss APIs for keras in-graph metric computations.
- Add support for calling model.evaluate on keras models containing custom metrics.
- Add CrossSliceMetricComputation metric type.
- Add Lift metrics under addons/fairness.
- Don't add metric config from config.MetricsSpec to baseline model spec by default.
- Fix invalid calculations for metrics derived from tf.keras.losses.
- Fixes following bugs related to CrossSlicingSpec based evaluation results.
- metrics_plots_and_validations_writer was failing while writing cross slice comparison results to metrics file.
- Fairness widget view was not compatible with cross slicing key type.
- Fix support for loading the UI outside of a notebook.
- Depends on
absl-py>=0.9,<0.13. - Depends on
tensorflow-metadata>=0.29.0,<0.30.0. - Depends on
tfx-bsl>=0.29.0,<0.30.0.
- N/A
- N/A