TensorFlow Metadata 1.16.1

Version 1.16.1

Major Features and Improvements

Bug Fixes and Other Changes

• Relax dependency on Protobuf to include version 5.x

Breaking Changes

Deprecations

TensorFlow Metadata 1.16.0

Version 1.16.0

Major Features and Improvements

• N/A

Bug Fixes and Other Changes

• For nested features with N nested levels (N > 1), the statistics counting
  the number of values in CommonStatistics and WeightedCommonStatistics
  will rely on the innermost level.

Breaking Changes

• N/A

Deprecations

• N/A

TensorFlow Metadata 1.15.0

Major Features and Improvements

• N/A

Bug Fixes and Other Changes

• Bump the Ubuntu version on which TFMD is tested to 20.04 (previously
  was 16.04).
• Bumped the minimum bazel version required to build tfmd to 6.1.0.
• Depends on protobuf>=4.25.2,<5 for Python 3.11 and on
  protobuf>3.20.3,<4.21 for 3.9 and 3.10.
• Depends on googleapis-common-protos>=1.56.4,<2 for Python 3.11 and on
  googleapis-common-protos>=1.52.0,<2 for 3.9 and 3.10.
• Relax dependency on absl-py to include version 2.

Breaking Changes

• Removed NaturalLanguageDomain.location_constraint_regex.
  It was documented as "please do not use" and never implemented.

Deprecations

• Deprecated Python 3.8 support.

TensorFlow Metadata 1.14.0

Major Features and Improvements

• N/A

Bug Fixes and Other Changes

• Add joint_group to SequenceMetadata to specify which group this sequence
  feature belongs to so that they can be modeled jointly.
• Add BOOL_TYPE_INVALID_CONFIG anomaly type.
• Add embedding_dim to FloatDomain to specify the embedding dimension,
  which is useful for use cases such as restoring shapes for flattened
  sequence of embeddings.
• Add sequence_truncation_limit to SequenceMetadata to specify the maximum
  sequence length that should be processed.
• Depends on protobuf>=3.20.3,<4.21. Upper bound is required to avoid
  breaking changes.

Breaking Changes

• N/A

Deprecations

• N/A

TensorFlow Metadata 1.13.1

Version 1.13.1

Major Features and Improvements

• N/A

Bug Fixes and Other Changes

• Depends on protobuf>=3.20.3,<5.

Breaking Changes

• N/A

Deprecations

• N/A

TensorFlow Metadata 1.13.0

Version 1.13.0

Major Features and Improvements

• Introduce Schema.represent_variable_length_as_ragged knob to automatically
  generate RaggedTensors for variable length features.
• Introduces a Schema option HistogramSelection to allow numeric drift/skew
  calculations to use QUANTILES histograms, which are more robust to outliers.

Bug Fixes and Other Changes

• N/A

Breaking Changes

• N/A

Deprecations

• Deprecated Python 3.7 support.

TensorFlow Metadata 1.12.0

Version 1.12.0

Major Features and Improvements

• N/A

Bug Fixes and Other Changes

• N/A

Breaking Changes

• N/A

Deprecations

• N/A

TensorFlow Metadata 1.11.0

Major Features and Improvements

• N/A

Bug Fixes and Other Changes

• Add a categorical indicator to the schema for StringDomain.
• Add ProblemStatement Task.is_auxiliary field to allow specifying auxiliary
  tasks in multi-task learning problems.
• Add the SequenceMetadata field to the schema to specify if this feature
  could be treated as a sequence feature.
• Add a CUSTOM_VALIDATION Type in anomalies.proto.

Breaking Changes

• Histogram Buckets include their upper bound instead of their lower bound.

Deprecations

• N/A

TensorFlow Metadata 1.10.0

Major Features and Improvements

• N/A

Bug Fixes and Other Changes

• ThresholdConfig.threshold field is made into a oneof.
• Clarifies the meaning of num_non_missing in statistics.proto.

Breaking Changes

• N/A

Deprecations

• ProblemStatement Task.task_weight and MetaOptimizationTarget.weight are
  deprecated.

TensorFlow Metadata 1.9.0

Major Features and Improvements

• N/A

Bug Fixes and Other Changes

• N/A

Breaking Changes

• N/A

Deprecations

• N/A