Version 0.46.0

Major Features and Improvements

• Removes the metrics modules from experimental now that it is migrated to py-ml-metrics package.
• Adds Constituent Flip Rate Metrics: SymmetricFlipRate, NegToNegFlipRate, NegToPosFlipRate, PosToNegFlipRate, PosToPosFlipRate.
• Depend on tensorflow-estimator package explicitly.

Bug fixes and other Changes

• Fix the bug about batching unsized numpy arrays.

Breaking Changes

• Removes attrs requirement.
• Consolidate Matrix definition for semantic segmentation confusion matrix metrics.
• Provide AggregateFn and interface and default call impl to adapt TFMA metrics combiner for in-process call.
• Move Mean metrics from experimental to metrics.
• Fix the bug of size estimator failure.
• Depends on tensorflow>=2.15.0,<2.16.
• Fix the failure in testMeanAttributions.
• Fix the input type mismatch in metric_specs_tests between bool and None.
• Fix the failure in the slice test due to beam type hints check.
• Fix the failure in metric_specs test, all TFMA deps on keras are keras 2.
• Depends on apache-beam[gcp]>=2.53.0,<3 for Python 3.11 and on apache-beam[gcp]>=2.47.0,<3 for 3.9 and 3.10.
• Depends on protobuf>=4.25.2,<5 for Python 3.11 and on protobuf>3.20.3,<5 for 3.9 and 3.10.
• Update the minimum Bazel version required to build TFMA to 6.1.0
• Refactors BooleanFlipRates computations to a combiner (flip_counts) and a DerivedMetricComputation (flip_rates).

Deprecations

• Deprecated python 3.8 support.