TensorFlow Model Analysis 0.47.0

Major Features and Improvements

• Adds False{Negative,Positive}FeatureSampler metrics.
• Adds RecallAtFalsePositiveRate metrics.
• Adds 'NegToNegFlipRate', 'NegToPosFlipRate', 'PosToNegFlipRate',
  'PosToPosFlipRate', and 'SymmetricFlipRate' metrics.
• Graduates dataframe module to core library as tfma.dataframe.

Bug fixes and other Changes

• Adds support for absolute change threshold validation on native diff metrics
  like flip rate metrics (e.g. SymmetricFlipRate) and
  ModelCosineSimilarity.
• Fixes a bug by ensuring feature values are always numpy arrays.
• Modifies a ROUGE Test to be compatible with NumPy v2.0.1.
• Remove keras_util_test.py which is based on estimator models.
• Remove dependency on eval_saved_model encodings.
• Downloads punkt_tab in Rouge metric.
• Depends on tensorflow 2.16
• Relax dependency on Protobuf to include version 5.x

Breaking Changes

• Removing legacy_predict_extractor in model_eval_lib.py.
• Removing post_export_metrics support in model_eval_lib.py.
• Removing eval saved model related API in
  metrics_plots_and_validations_evaluator.py
• Removing legacy_metrics_and_plots_evaluator in model_eval_lib.py.
• Removes legacy_metrics_and_plots_evaluator from the public API of TFMA
  evaluator.
• Removing eval_saved_model related API in model_util.py, estimator related
  functions are no longer supported.
• Removing legacy_metrics_and_plots_evaluator in TFMA OSS.
• Removing legacy_aggregate in TFMA.
• Remove legacy_query_based_metrics_evaluator.py and its test.
• Remove model_agnostic_eval, export, exporter, and post_export_metrics which are based on estimators.
• Remove eval_saved_model_util.py and its test.
• Remove contrib model_eval_lib and export and their tests.
• Remove all eval_saved_model files.

Deprecations

• Migrate common utils in eval_saved_model testutils to utils/test_util.py.
  This enables further deprecation of eval saved model.
• Deprecate legacy estimator related tests in predictions_extractor_test.py