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TFDV 0.26.0 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) | 2.25.0 | 0.17.0 | nightly (1.x/2.x) | 0.25.0 | 0.25.0 | 0.25.0
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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) | 0.26.0 | 0.26.0 | 0.26.0
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[0.26.0](https://github.com/tensorflow/data-validation/blob/v0.26.0/RELEASE.md) | 2.25.0 | 0.17.0 | 1.15 / 2.3 | 0.26.0 | 0.26.0 | 0.26.0
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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

RELEASE.md

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# Current Version(Still in Development)
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## Major Features and Improvements
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## Bug Fixes and Other Changes
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## Known Issues
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## Breaking changes
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## Deprecations
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# Version 0.26.0
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## Major Features and Improvements
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* Added support for per-feature example weights which allows associating each
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column its specific weight column. See the `per_feature_weight_override`
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parameter in `StatsOptions.__init__`.
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## Bug Fixes and Other Changes
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* Newly added LifecycleStage.DISABLED is now exempt from validation (similar
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to LifecycleStage.DEPRECATED, etc).
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* Fixed a bug where TFDV blindly trusts the claim type in the provided schema.
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TFDV now computes the stats according to the actual type of the data, and
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only when the actual type matches the claim in the schema will it compute
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type-specific stats (e.g. categorical ints).
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* Added an option to control whether to add default stats generators when
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`tfdv.GenerateStatistics()`.
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* Started using a new quantiles computation routine that does not depend on
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TF. This could potentially increase the performance of TFDV under certain
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workloads.
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* Extending schema_util to support sematic domains.
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* Moving natural_language_stats_generator to
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natural_language_domain_inferring_stats_generator.
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* Providing vocab_utils to assist in opening / loading vocabulary files.
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* A SchemaDiff will be reported upon J-S skew/drift.
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* Fixed a bug in FLOAT_TYPE_SMALL_FLOAT anomaly message.
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* Newly added LifecycleStage.DISABLED is now exempt from validation (similar
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to LifecycleStage.DEPRECATED, etc).
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* Fixed a bug where TFDV blindly trusts the claim type in the provided schema.
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TFDV now computes the stats according to the actual type of the data, and
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only when the actual type matches the claim in the schema will it compute
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type-specific stats (e.g. categorical ints).
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* Added an option to control whether to add default stats generators when
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`tfdv.GenerateStatistics()`.
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* Started using a new quantiles computation routine that does not depend on
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TF. This could potentially increase the performance of TFDV under certain
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workloads.
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* Extending schema_util to support sematic domains.
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* Moving natural_language_stats_generator to
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natural_language_domain_inferring_stats_generator.
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* Providing vocab_utils to assist in opening / loading vocabulary files.
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* A SchemaDiff will be reported upon J-S skew/drift.
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* Fixed a bug in FLOAT_TYPE_SMALL_FLOAT anomaly message.
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* Depends on `apache-beam[gcp]>=2.25,!=2.26.*,<3`.
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* Depends on `tensorflow>=1.15.2,!=2.0.*,!=2.1.*,!=2.2.*,!=2.4.*,<3`.
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* Depends on `tensorflow-metadata>=0.26,<0.27`.
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* Depends on `tensorflow-transform>=0.26,<0.27`.
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* Depends on `tfx-bsl>=0.26,<0.27`.
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## Known Issues
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* N/A
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## Breaking changes
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* N/A
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## Deprecations
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* N/A
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# Version 0.25.0
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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) | 2.25.0 | 0.17.0 | nightly (1.x/2.x) | 0.25.0 | 0.25.0 | 0.25.0
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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) | 0.26.0 | 0.26.0 | 0.26.0
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[0.26.0](https://github.com/tensorflow/data-validation/blob/v0.26.0/RELEASE.md) | 2.25.0 | 0.17.0 | 1.15 / 2.3 | 0.26.0 | 0.26.0 | 0.26.0
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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

setup.py

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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]>=2.25,<3',
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'apache-beam[gcp]>=2.25,!=2.26.*,<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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'protobuf>=3.9.2,<4',
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'pyarrow>=0.17,<0.18',
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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>=1.15.2,!=2.0.*,!=2.1.*,!=2.2.*,!=2.4.*,<3',
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'tensorflow-metadata' + select_constraint(
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default='>=0.25,<0.26',
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nightly='>=0.26.0.dev',
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default='>=0.26,<0.27',
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nightly='>=0.27.0.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='>=0.25,<0.26',
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nightly='>=0.26.0.dev',
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default='>=0.26,<0.27',
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nightly='>=0.27.0.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='>=0.25,<0.26',
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nightly='>=0.26.0.dev',
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default='>=0.26,<0.27',
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nightly='>=0.27.0.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__ = '0.26.0.dev'
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__version__ = '0.27.0.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 = "7a75de87e90dfd63252e57e539f5c38a20e1ece0",
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commit = "d7b289aba32502f94bafff3ffbe74560efdd491c",
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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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