Releases: tensorflow/metadata
Releases · tensorflow/metadata
TensorFlow Metadata 0.28.0
Major Features and Improvements
- Added new anomaly type
MAX_IMAGE_BYTE_SIZE_EXCEEDED
for image_domain. - Added new anomaly type
INVALID_FEATURE_SHAPE
. - The
RaggedTensor
TensorRepresentation now supports additional partitions.
Bug Fixes and Other Changes
- N/A
Breaking Changes
- N/A
Deprecations
- N/A
TensorFlow Metadata 0.27.0
Major Features and Improvements
- Added new anomaly types to AnamalyInfo to report data issues with NL
features.
Bug Fixes and Other Changes
- Added new FloatDomain field and anomaly type to designate and validate
features that represent fixed dimensional embeddings.
Breaking changes
- N/A
Deprecations
- N/A
TensorFlow Metadata 0.26.0
Major Features and Improvements
- Added new fields to NaturalLanguageDomain message in the schema, including
support for specifying vocabularies, constriants on sequence values
(SequenceValueConstraints), constraints on vocabulary coverage
(FeatureCoverageConstraints), and constraints on token location
(location_constraints_regex). - Added new NaturalLanguageStatistics message to the statistics.proto so that
we can compute statistics corresponding to Natural Language features.
Bug Fixes and Other Changes
- N/A
Breaking changes
- N/A
Deprecations
- N/A
TensorFlow Metadata 0.25.0
Major Features and Improvements
-
Added new Anomaly and Schema field to support drift and distribution skew
detection for numeric features. -
Added a new field in Anomalies proto to report the raw measurements of
distribution skew detection. -
From this release TFMD 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-metadata
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 TFMD available on PyPI by running the
commandpip install tensorflow-metadata
.
Bug Fixes and Other Changes
- Added new Anomaly type to describe when a domain is incompatible with the
data type. - Added new Anomaly types for invalid schema configurations (missing name,
missing type, etc). - Added new Anomaly type to describe when type does not match the data.
- Added new LifecycleStage:DISABLED.
Breaking changes
- N/A
Deprecations
- N/A
TensorFlow Metadata 0.24.0
Major Features and Improvements
- From this version we will be releasing python 3.8 wheels.
Bug Fixes and Other Changes
- 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
.
Breaking changes
- N/A
Deprecations
- Deprecated Python 3.5 support.
Release 0.23.0
Version 0.23.0
Major Features and Improvements
- 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.
Bug Fixes and Other Changes
- Add ProblemStatement and Metric Python proto stubs.
- Use absltest instead of unittest.
Breaking changes
- N/A
Deprecations
- Drops Python 2 support.
Release 0.22.2
Version 0.22.2
Major Features and Improvements
- 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.
Bug Fixes and Other Changes
Breaking changes
Deprecations
Release 0.22.1
Version 0.22.1
Major Features and Improvements
- Added RaggedTensor in TensorRepresentation
Bug Fixes and Other Changes
Breaking changes
Deprecations
Release 0.22.0
Version 0.22.0
Major Features and Improvements
Bug Fixes and Other Changes
- Added a new type of Anomaly: DATASET_HIGH_NUM_EXAMPLES
- Added a new field to dataset_constraints: max_examples_count
- Removed ProblemStatementNamespace proto
- Removed ProblemStatementReference proto
- Removed field ProblemStatement.implements
Breaking Changes
Deprecations
Version 0.21.2
Major Features and Improvements
Bug Fixes and Other Changes
- Fixed a compatibility issue with newer bazel versions.
- Started pulling TF 1.15.2 source for building.