TensorFlow Data Validation 0.26.0

Version 0.26.0

Major Features and Improvements

• Added support for per-feature example weights which allows associating each
  column its specific weight column. See the per_feature_weight_override
  parameter in StatsOptions.__init__.

Bug Fixes and Other Changes

• Newly added LifecycleStage.DISABLED is now exempt from validation (similar
  to LifecycleStage.DEPRECATED, etc).
• Fixed a bug where TFDV blindly trusts the claim type in the provided schema.
  TFDV now computes the stats according to the actual type of the data, and
  only when the actual type matches the claim in the schema will it compute
  type-specific stats (e.g. categorical ints).
• Added an option to control whether to add default stats generators when
  tfdv.GenerateStatistics().
• Started using a new quantiles computation routine that does not depend on
  TF. This could potentially increase the performance of TFDV under certain
  workloads.
• Extending schema_util to support sematic domains.
• Moving natural_language_stats_generator to
  natural_language_domain_inferring_stats_generator.
• Providing vocab_utils to assist in opening / loading vocabulary files.
• A SchemaDiff will be reported upon J-S skew/drift.
• Fixed a bug in FLOAT_TYPE_SMALL_FLOAT anomaly message.
• Depends on apache-beam[gcp]>=2.25,!=2.26.*,<3.
• Depends on tensorflow>=1.15.2,!=2.0.*,!=2.1.*,!=2.2.*,!=2.4.*,<3.
• Depends on tensorflow-metadata>=0.26,<0.27.
• Depends on tensorflow-transform>=0.26,<0.27.
• Depends on tfx-bsl>=0.26,<0.27.

Known Issues

• N/A

Breaking changes

• N/A

Deprecations

• N/A