Version 0.34.1

Major Features and Improvements

• N/A

Bug fixes and other Changes

• Correctly skips non-numeric numpy array type metrics for confidence interval computations.
• Depends on apache-beam[gcp]>=2.32,<3.
• Depends on tfx-bsl>=1.3.0,<1.4.0.

Breaking Changes

• In preparation for TFMA 1.0, the following imports have been moved (note that other modules were also moved, but TFMA only supports types that are explicitly declared inside of __init__.py files):
  • tfma.CombineFnWithModels -> tfma.utils.CombineFnWithModels
  • tfma.DoFnWithModels -> tfma.utils.DoFnWithModels
  • tfma.get_baseline_model_spec -> tfma.utils.get_baseline_model_spec
  • tfma.get_model_type -> tfma.utils.get_model_type
  • tfma.get_model_spec -> tfma.utils.get_model_spec
  • tfma.get_non_baseline_model_specs -> tfma.utils.get_non_baseline_model_specs
  • tfma.verify_eval_config -> tfma.utils.verify_eval_config
  • tfma.update_eval_config_with_defaults -> tfma.utils.update_eval_config_with_defaults
  • tfma.verify_and_update_eval_shared_models -> tfma.utils.verify_and_update_eval_shared_models
  • tfma.create_keys_key -> tfma.utils.create_keys_key
  • tfma.create_values_key -> tfma.utils.create_values_key
  • tfma.compound_key -> tfma.utils.compound_key
  • tfma.unique_key -> tfma.utils.unique_key

Deprecations

• N/A