TensorFlow Data Validation 0.26.1

Major Features and Improvements

• N/A

Bug Fixes and Other Changes

• Depends on apache-beam[gcp]>=2.25,!=2.26.*,<2.29.

Known Issues

• N/A

Breaking changes

• N/A

Deprecations

• N/A

TensorFlow Data Validation 0.30.0

Major Features and Improvements

• This version is the last version before TFDV 1.0. Once 1.0, all the TFDV
  public APIs (i.e. symbols in the root __init__.py) will be subject to
  semantic versioning. We are deprecating some public APIs in this version
  and they will be removed in 1.0.

• Sketch-based top-k/unique stats generator now is able to detect invalid
  utf-8 sequences / large texts and replace them with a placeholder.
  It will not suffer from memory issue usually caused by image / large text
  features in the data. Note that this generator is not by default used yet.

• Added StatsOptions.experimental_use_sketch_based_topk_uniques which
  enables the sketch-based top-k/unique stats generator.

Bug Fixes and Other Changes

• Fixed bug in display_schema that caused domains not to be displayed.
• Modified how get_schema_dataframe outputs numeric domains.
• Anomalies previously (un)classified as UKNOWN_TYPE now trigger more specific
  anomaly types: INVALID_DOMAIN_SPECIFICATION and MULTIPLE_REASONS.
• Depends on tensorflow-metadata>=0.30,<0.31.
• Depends on tfx-bsl>=0.30,<0.31.

Known Issues

• N/A

Breaking Changes

• N/A

Deprecations

• tfdv.LiftStatsGenerator is going to be removed in the next version from
  the public API. To enable that generator,
  supply StatsOptions.label_feature
• tfdv.NonStreamingCustomStatsGenerator is going to be removed in the next
  version from the public API. You may continue to import it from TFDV
  but it will not be subject to compatibility guarantees.
• tfdv.validate_instance is going to be removed in the next
  version from the public API. You may continue to import it from TFDV
  but it will not be subject to compatibility guarantees.
• Removed tfdv.DecodeCSV, tfdv.DecodeTFExample (deprecated in 0.27).
• Removed feature_whitelist in tfdv.StatsOptions (deprecated in 0.28).
  Use feature_allowlist instead.
• tfdv.get_feature_value_slicer is deprecated.
  tfdv.experimental_get_feature_value_slicer is introduced as a replacement.
  TFDV is likely to have a different slicing functionality post 1.0, which
  may not be compatible with the current slicers.
• StatsOptions.slicing_functions is deprecated.
  StatsOptions.experimental_slicing_functions is introduced as a
  replacement.
• tfdv.WriteStatisticsToText is removed (deprecated in 0.25.0).
• Parameter compression_type in tfdv.generate_statistics_from_tfrecord
  is deprecated. The compression type is currently automatically determined.

TensorFlow Data Validation 0.29.0

Major Features and Improvements

• N/A

Bug Fixes and Other Changes

• Added check for invalid min and max values for values_counts for nested
  features.
• Bumped the mininum bazel version required to build TFDV to 3.7.2.
• Depends on absl-py>=0.9,<0.13.
• Depends on tensorflow-metadata>=0.29,<0.30.
• Depends on tfx-bsl>=0.29,<0.30.

Known Issues

• N/A

Breaking Changes

• N/A

Deprecations

• N/A

TensorFlow Data Validation 0.28.0

Major Features and Improvements

• Add anomaly detection for max bytes size for images.

Bug Fixes and Other Changes

• Depends on numpy>=1.16,<1.20.
• Fixed a bug that affected all CombinerFeatureStatsGenerators.
• Allow for bytes type in get_feature_value_slicer in addition to Text
  and int.
• Fixed a bug that caused TFDV to improperly infer a fixed shape when
  tfdv.infer_schema and tfdv.update_schema were called with
  infer_feature_shape=True.
• Deprecated parameter infer_feature_shape of function tfdv.update_schema.
  If a schema feature has a pre-defined shape, tfdv.update_schema will
  always validate it. Otherwise, it will not try to add a shape.
• Deprecated tfdv.StatsOptions.feature_whitelist and added
  feature_allowlist as a replacement. The former will be removed in the next
  release.
• Added get_schema_dataframe and get_anomalies_dataframe utility
  functions.
• Depends on apache-beam[gcp]>=2.28,<3.
• Depends on tensorflow-metadata>=0.28,<0.29.
• Depends on tfx-bsl>=0.28.1,<0.29.

Known Issues

• N/A

Breaking Changes

• N/A

Deprecations

• N/A

TensorFlow Data Validation 0.27.0

Major Features and Improvements

• Performance improvement to BasicStatsGenerator.

Bug Fixes and Other Changes

• Added a compact() and setup() interface to CombinerStatsGenerator,
  CombinerFeatureStatsWrapperGenerator, BasicStatsGenerator,
  CompositeStatsGenerator, and ConstituentStatsGenerator.
• Stopped depending on tensorflow-transform.
• Depends on apache-beam[gcp]>=2.27,<3.
• Depends on pyarrow>=1,<3.
• Depends on tensorflow>=1.15.2,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,<3.
• Depends on tensorflow-metadata>=0.27,<0.28.
• Depends on tfx-bsl>=0.27,<0.28.

Known Issues

• N/A

Breaking changes

• N/A

Deprecations

• tfdv.DecodeCSV and tfdv.DecodeTFExample are deprecated. Use
  tfx_bsl.public.tfxio.CsvTFXIO and tfx_bsl.public.tfxio.TFExampleRecord
  instead.

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

TensorFlow Data Validation 0.25.0

Version 0.25.0

Major Features and Improvements

• Add support for detecting drift and distribution skew in numeric features.

• tfdv.validate_statistics now also reports the raw measurements of
  distribution skew/drift (if any is done), regardless whether skew/drift is
  detected. The report is in the drift_skew_info of the Anomalies proto
  (return value of validate_statistics).

• From this release TFDV will also be hosting nightly packages on
  https://pypi-nightly.tensorflow.org. To install the nightly package use the
  following command:

  pip install -i https://pypi-nightly.tensorflow.org/simple tensorflow-data-validation
  

  Note: These nightly packages are unstable and breakages are likely to
  happen. The fix could often take a week or more depending on the complexity
  involved for the wheels to be available on the PyPI cloud service. You can
  always use the stable version of TFDV available on PyPI by running the
  command pip install tensorflow-data-validation .

Bug Fixes and Other Changes

• Added tfdv.load_stats_binary to load stats what were written using
  tfdv.WriteStatisticsToText (now tfdv.WriteStatisticsToBinaryFile).
• Anomalies previously (un)classified as UKNOWN_TYPE now trigger more specific
  anomaly types: DOMAIN_INVALID_FOR_TYPE, UNEXPECTED_DATA_TYPE,
  FEATURE_MISSING_NAME, FEATURE_MISSING_TYPE, INVALID_SCHEMA_SPECIFICATION
• Fixed a bug that import tensorflow_data_validation would fail if IPython
  is not installed. IPython is an optional dependency of TFDV.
• Depends on apache-beam[gcp]>=2.25,<3.
• Depends on tensorflow-metadata>=0.25,<0.26.
• Depends on tensorflow-transform>=0.25,<0.26.
• Depends on tfx-bsl>=0.25,<0.26.

Known Issues

• N/A

Breaking Changes

• tfdv.WriteStatisticsToText is renamed as
  tfdv.WriteStatisticsToBinaryFile. The former is still available but will
  be removed in a future release.

Deprecations

• N/A

TensorFlow Data Validation 0.24.1

Major Features and Improvements

• N/A

Bug Fixes and Other Changes

• Depends on apache-beam[gcp]>=2.24,<3.
• Depends on tensorflow-transform>=0.24.1,<0.25.
• Depends on tfx-bsl>=0.24.1,<0.25.

Known Issues

• N/A

Breaking Changes

• N/A

Deprecations

• N/A

TensorFlow Data Validation 0.23.1

Major Features and Improvements

• N/A

Bug Fixes and Other Changes

• Depends on apache-beam[gcp]>=2.24,<3.

Known Issues

• N/A

Breaking Changes

• N/A

Deprecations

• Deprecated python 3.5 support.

TensorFlow Data Validation 0.24.0

Major Features and Improvements

• You can now build the TFDV wheel with python setup.py bdist_wheel. Note:
• If you want to build a manylinux2010 wheel you'll still need
  to use Docker.
• Bazel is still required.
• You can now build manylinux2010 TFDV wheel for Python 3.8.

Bug Fixes and Other Changes

• Support allowlist and denylist features in tfdv.visualize_statistics
  method.
• Depends on absl-py>=0.9,<0.11.
• Depends on pandas>=1.0,<2.
• Depends on protobuf>=3.9.2,<4.
• Depends on tensorflow-metadata>=0.24,<0.25.
• Depends on tensorflow-transform>=0.24,<0.25.
• Depends on tfx-bsl>=0.24,<0.25.

Known Issues

• N/A

Breaking Changes

• N/A

Deprecations

• Deprecated Py3.5 support.
• Deprecated sample_count option in tfdv.StatsOptions. Use sample_rate
  option instead.