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TFDV 0.25.0 Release
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README.md

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tensorflow-data-validation | apache-beam[gcp] | pyarrow | tensorflow | tensorflow-metadata | tensorflow-transform | tfx-bsl
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------------------------------------------------------------------------------------- | ---------------- | ------- | ----------------- | ------------------- | -------------------- | -------
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[GitHub master](https://github.com/tensorflow/data-validation/blob/master/RELEASE.md) | 2.24.0 | 0.17.0 | nightly (1.x/2.x) | 0.24.0 | 0.24.1 | 0.24.1
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[GitHub master](https://github.com/tensorflow/data-validation/blob/master/RELEASE.md) | 2.25.0 | 0.17.0 | nightly (1.x/2.x) | 0.25.0 | 0.25.0 | 0.25.0
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[0.25.0](https://github.com/tensorflow/data-validation/blob/v0.25.0/RELEASE.md) | 2.25.0 | 0.17.0 | 1.15 / 2.3 | 0.25.0 | 0.25.0 | 0.25.0
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[0.24.1](https://github.com/tensorflow/data-validation/blob/v0.24.1/RELEASE.md) | 2.24.0 | 0.17.0 | 1.15 / 2.3 | 0.24.0 | 0.24.1 | 0.24.1
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[0.24.0](https://github.com/tensorflow/data-validation/blob/v0.24.0/RELEASE.md) | 2.23.0 | 0.17.0 | 1.15 / 2.3 | 0.24.0 | 0.24.0 | 0.24.0
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[0.23.1](https://github.com/tensorflow/data-validation/blob/v0.23.1/RELEASE.md) | 2.24.0 | 0.17.0 | 1.15 / 2.3 | 0.23.0 | 0.23.0 | 0.23.0

RELEASE.md

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## Major Features and Improvements
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## Bug Fixes and Other Changes
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## Breaking changes
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## Deprecations
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# Version 0.25.0
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## Major Features and Improvements
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* Add support for detecting drift and distribution skew in numeric features.
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* `tfdv.validate_statistics` now also reports the raw measurements of
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distribution skew/drift (if any is done), regardless whether skew/drift is
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## Bug Fixes and Other Changes
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* Added `tfdv.load_stats_binary` to load stats what were written using
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`tfdv.WriteStatisticsToText` (now `tfdv.WriteStatisticsToBinaryFile`).
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* Added `tfdv.load_stats_binary` to load stats what were written using
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`tfdv.WriteStatisticsToText` (now `tfdv.WriteStatisticsToBinaryFile`).
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* Anomalies previously (un)classified as UKNOWN_TYPE now trigger more specific
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anomaly types: DOMAIN_INVALID_FOR_TYPE, UNEXPECTED_DATA_TYPE,
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FEATURE_MISSING_NAME, FEATURE_MISSING_TYPE, INVALID_SCHEMA_SPECIFICATION
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* Fixed a bug that `import tensorflow_data_validation` would fail if IPython
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is not installed. IPython is an optional dependency of TFDV.
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* Fixed a bug that `import tensorflow_data_validation` would fail if IPython
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is not installed. IPython is an optional dependency of TFDV.
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* Depends on `apache-beam[gcp]>=2.25,<3`.
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* Depends on `tensorflow-metadata>=0.25,<0.26`.
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* Depends on `tensorflow-transform>=0.25,<0.26`.
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* Depends on `tfx-bsl>=0.25,<0.26`.
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## Known Issues
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* N/A
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## Breaking Changes
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* `tfdv.WriteStatisticsToText` is renamed as
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## Deprecations
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* N/A
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# Version 0.24.1
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## Major Features and Improvements

g3doc/install.md

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tensorflow-data-validation | apache-beam[gcp] | pyarrow | tensorflow | tensorflow-metadata | tensorflow-transform | tfx-bsl
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------------------------------------------------------------------------------------- | ---------------- | ------- | ----------------- | ------------------- | -------------------- | -------
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[GitHub master](https://github.com/tensorflow/data-validation/blob/master/RELEASE.md) | 2.24.0 | 0.17.0 | nightly (1.x/2.x) | 0.24.0 | 0.24.1 | 0.24.1
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[GitHub master](https://github.com/tensorflow/data-validation/blob/master/RELEASE.md) | 2.25.0 | 0.17.0 | nightly (1.x/2.x) | 0.25.0 | 0.25.0 | 0.25.0
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[0.25.0](https://github.com/tensorflow/data-validation/blob/v0.25.0/RELEASE.md) | 2.25.0 | 0.17.0 | 1.15 / 2.3 | 0.25.0 | 0.25.0 | 0.25.0
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[0.24.1](https://github.com/tensorflow/data-validation/blob/v0.24.1/RELEASE.md) | 2.24.0 | 0.17.0 | 1.15 / 2.3 | 0.24.0 | 0.24.1 | 0.24.1
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[0.24.0](https://github.com/tensorflow/data-validation/blob/v0.24.0/RELEASE.md) | 2.23.0 | 0.17.0 | 1.15 / 2.3 | 0.24.0 | 0.24.0 | 0.24.0
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[0.23.1](https://github.com/tensorflow/data-validation/blob/v0.23.1/RELEASE.md) | 2.24.0 | 0.17.0 | 1.15 / 2.3 | 0.23.0 | 0.23.0 | 0.23.0

setup.py

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def _make_visualization_requirements():
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return [
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'ipython>=7,<8;python_version>="3"',
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'ipython>=7,<8',
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]
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# six, and protobuf) with TF.
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install_requires=[
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'absl-py>=0.9,<0.11',
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'apache-beam[gcp]>=2.24,<3',
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'apache-beam[gcp]>=2.25,<3',
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# TODO(b/139941423): Consider using multi-processing provided by
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# Beam's DirectRunner.
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'joblib>=0.12,<0.15', # Dependency for multi-processing.
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'six>=1.12,<2',
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'tensorflow>=1.15.2,!=2.0.*,!=2.1.*,!=2.2.*,<3',
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'tensorflow-metadata' + select_constraint(
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default='>=0.24,<0.25',
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nightly='>=0.25.0.dev',
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default='>=0.25,<0.26',
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nightly='>=0.26.0.dev',
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git_master='@git+https://github.com/tensorflow/metadata@master'),
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'tensorflow-transform' + select_constraint(
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default='>=0.24.1,<0.25',
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nightly='>=0.25.0.dev',
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default='>=0.25,<0.26',
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nightly='>=0.26.0.dev',
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git_master='@git+https://github.com/tensorflow/transform@master'),
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'tfx-bsl' + select_constraint(
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default='>=0.24.1,<0.25',
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nightly='>=0.25.0.dev',
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default='>=0.25,<0.26',
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nightly='>=0.26.0.dev',
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git_master='@git+https://github.com/tensorflow/tfx-bsl@master'),
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],
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extras_require={

tensorflow_data_validation/version.py

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"""Contains the version string of TFDV."""
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# Note that setup.py uses this version.
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__version__ = '0.25.0.dev'
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__version__ = '0.26.0.dev'

tensorflow_data_validation/workspace.bzl

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# Fetch tf.Metadata repo from GitHub.
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git_repository(
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name = "com_github_tensorflow_metadata",
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commit = "aa10b5c0a226d8acdc7addb28f4658980cc4b0e2",
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commit = "7a75de87e90dfd63252e57e539f5c38a20e1ece0",
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remote = "https://github.com/tensorflow/metadata.git",
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)
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# LINT.ThenChange(//third_party/py/tensorflow_data_validation/google/copy.bara.sky)

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