- From this version we will be releasing python 3.8 wheels.
- When installing from source, you don't need any steps other than
pip install
(needs Bazel). - Labels can be specified as Paths in addition to string names.
- Depends on
absl-py>=0.9,<0.11
. - Depends on
googleapis-common-protos>=1.52.0,<2
.
- N/A
- Deprecated Python 3.5 support.
- Added disallow_inf to FloatDomain message in schema.proto.
- Added new Anomaly type to describe data that has unexpected Infs / -Infs.
- Added new Anomaly and Schema field for specifying ratio of supported images.
- Added value_counts field to Feature message in schema.proto, which describes the number of values for features that have more than one nestedness level.
- Added new anomaly type VALUE_NESTEDNESS_MISMATCH to describe data that has a nestedness level that does not match the schema.
- Added new Any type value to CustomStatistic.
- Add ProblemStatement and Metric Python proto stubs.
- Use absltest instead of unittest.
- N/A
- Drops Python 2 support.
- Note: We plan to remove Python 3.5 support after this release.
- Added UniqueConstraints to Feature message in schema.proto.
- Added new Anomaly types to describe data that does not conform to UniqueConstraints.
- Added PresenceAndValencyStatistics to CommonStatistics.
- Added RaggedTensor in TensorRepresentation
- Added a new type of Anomaly: DATASET_HIGH_NUM_EXAMPLES
- Added a new field to dataset_constraints: max_examples_count
- Added a multi-label TaskType.
- Removed ProblemStatementNamespace proto
- Removed ProblemStatementReference proto
- Removed field ProblemStatement.implements
- Fixed a compatibility issue with newer bazel versions.
- Started pulling TF 1.15.2 source for building.
- Added support for specifying behavior of rare / OOV multiclass labels.
- Added anomaly types related to weighted features.
- Added support for storing lift stats on weighted examples.
- The removal of
lift_series
fromCategoricalCrossStats
and the change of type ofLiftSeries.LiftValue.lift
from float to double will cause parsing failures for serialized protos written written by version 0.21.0 which contained the deleted or changed fields.
- Added protos for categorical cross statistics using lift.
- Added a new type of Anomaly: FLOAT_TYPE_HAS_NAN
- Added a new field to float_domain: disallow_nans
- Added SparseTensor to TensorRepresentation.
- Added a new type of Anomaly
- Add WeightedFeature to schema.
- Add min_examples_count to DatasetConstraints and DATASET_LOW_NUM_EXAMPLES anomaly type.
- Add TimeOfDay domain and UNIX_DAY granularity for TimeDomain in schema.
- Added TensorRepresentation to schema.
No significant changes. Upgrading to keep version alignment.
- Adding CustomMetric to PerformanceMetric.
- Added an Any field to Schema Feature, for storing arbitrary structured data.
- Refactoring ProblemStatement and related protos. At present, these are not stable.
- Added ProblemStatement.
- Add support for declaring sparse features.
- Add support for schema diff regions.
- Adding functionality for handling structured data.
- StructStatistics.common_statistics changed to StructStatistics.common_stats to agree with Facets.
- The change from StructStatistics.common_statistics to StructStatistics.common_stats may break code that had this field set and was serializing to some text format. The wire format should be fine.
- Use the same version of protobuf as tensorflow.
- Added support for structural statistics.
- Added new error types.
- Removed DiffRegion.
- added RankHistogram to CustomStatistics.
- Removed DiffRegion.
- Established tf.Metadata as a standalone package.
- Moved tf.Metadata code out of TF-Transform code tree, requiring package dependency updates and import updates.