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