TensorFlow Model Analysis 0.45.0

Major Features and Improvements

• 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_keypath to ModelSignatureDoFn to explicitly set a
  chain of output keys in the multi-level dict (extracts). Adds output_keypath
  to common prediction extractors.

Bug fixes and other Changes

• Fix the bug that SetMatchRecall is always 1 when top_k is set.
• 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.
• 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.

Breaking Changes

• Depend on PIL for image related metrics.
• Separate extract_key from signature names in ModelSignaturesDoFn.

Deprecations

• N/A