TensorFlow Data Validation 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.

Bug Fixes and Other Changes

• 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.

Known Issues

• N/A

Breaking Changes

• 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.

Deprecations

• N/A