Version 0.34.0

Major Features and Improvements

Added SparseTensorValue and RaggedTensorValue types for storing in-memory versions of sparse and ragged tensor values used in extracts. Tensor values used for features, etc should now be based on either np.ndarray, SparseTensorValue, or RaggedTensorValue and not tf.compat.v1 value types.
Add CIDerivedMetricComputation metric type.

Bug fixes and other Changes

Fixes bug when computing confidence intervals for binary_confusion_metrics.ConfusionMatrixAtThresholds (or any other structured metric).
Fixed bug where example_count post_export_metric is added even if include_default_metrics is False.
Depends on apache-beam[gcp]>=2.31,<2.32.
Depends on tensorflow>=1.15.2,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,<3.
Depends on tfx-bsl>=1.3.1,<1.4.0.

Breaking Changes

N/A

Deprecations

N/A