Version 1.11.0

Major Features and Improvements

This is the last version that supports TensorFlow 1.15.x. TF 1.15.x support will be removed in the next version. Please check the TF2 migration guide to migrate to TF2.
Add a custom_validate_statistics function to the validation API, and support passing custom validations to validate_statistics. Note that custom validation is not supported on Windows.

Fix bug in implementation of semantic_domain_stats_sample_rate.
Add beam metrics on string length
Determine whether to calculate string statistics based on the is_categorical field in the schema string domain.
Histograms counts should now be more accurate for distributions with few distinct values, or frequent individual values.
Nested list length histogram counts are no longer based on the number of values one up in the nested list hierarchy.
Support using jensen-shannon divergence to detect drift and skew for string and categorical features.
get_drift_skew_dataframe now includes a threshold column.
Adds support for NormalizedAbsoluteDifference comparator.
Depends on tensorflow>=1.15.5,<2 or tensorflow>=2.10,<3
Depends on joblib>=1.2.0.

Histogram semantics are slightly changed, so that buckets include their upper bound instead of their lower bound. STANDARD histograms will no longer generate buckets that contain infinite and finite endpoints together.
Introduces StatsOptions.use_sketch_based_topk_uniques replacing experimental_use_sketch_based_topk_uniques. The latter option can still be written, but not read.