- Add F1, False positive rate, and Accuracy into the confusion matrix plot.
- Add support for setting top_k and class_id at the same time for confusion matrix metrics.
- Add the false positive for semantic segmentation metrics.
- Add Mean Metric (experimental) which calculates the mean of any feature. *.
Adds support of
output_keypathto ModelSignatureDoFn to explicitly set a chain of output keys in the multi-level dict (extracts). Adds output_keypath to common prediction extractors.
- Fix the bug that SetMatchRecall is always 1 when top_k is set.
- Depends on
pyarrow>=10,<11. - Depends on
apache-beam>=2.47,<3. - Depends on
numpy>=1.23.0. - Depends on
tensorflow>=2.13.0,<3. - Add 'tfma_eval' model_type in model_specs as the identifier for eval_saved_model, allowing signature='eval' to now be used with other model types.
- Add "materialized_prediction" model type to allow users bypassing model inference explicitly.
- Depend on PIL for image related metrics.
- Separate extract_key from signature names in
ModelSignaturesDoFn.
- N/A