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TFMA 0.22.0 Release
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README.md

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|tensorflow-model-analysis |tensorflow |apache-beam[gcp]|
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|------------------------------------------------------------------------------------|--------------|----------------|
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|[GitHub master](https://github.com/tensorflow/model-analysis/blob/master/RELEASE.md)|nightly (1.x/2.x) |2.19.0 |
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|[GitHub master](https://github.com/tensorflow/model-analysis/blob/master/RELEASE.md)|nightly (1.x/2.x) |2.20.0 |
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|[0.22.0](https://github.com/tensorflow/model-analysis/blob/v0.22.0/RELEASE.md) |1.15 / 2.2 |2.20.0 |
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|[0.21.6](https://github.com/tensorflow/model-analysis/blob/v0.21.6/RELEASE.md) |1.15 / 2.1 |2.19.0 |
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|[0.21.5](https://github.com/tensorflow/model-analysis/blob/v0.21.5/RELEASE.md) |1.15 / 2.1 |2.19.0 |
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|[0.21.4](https://github.com/tensorflow/model-analysis/blob/v0.21.4/RELEASE.md) |1.15 / 2.1 |2.19.0 |

RELEASE.md

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# Current Version (Still in Development)
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# Version 0.22.0
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## Major Features and Improvements
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containing micro-aggregation computations.
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* Remove batched keys. Instead use the same keys for batched and unbatched
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extract.
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* Depends on `pyarrow>=0.16,<1`.
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* Adding support to visualize Fairness Indicators in Fairness Indicators
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TensorBoard Plugin by providing remote evalution path in query parameter:
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`<tensorboard_url>#fairness_indicators&
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member of default_writers.
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* Updated tfma.ExtractEvaluateAndWriteResults to accept Extracts as input in
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addition to serialize bytes and Arrow RecordBatches.
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* Depends on `apache-beam[gcp]>=2.20,<3`.
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* Depends on `pyarrow>=0.16,<1`.
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* Depends on `tensorflow>=1.15,!=2.0.*,<3`.
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* Depends on `tensorflow-metadata>=0.22,<0.23`.
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* Depends on `tfx-bsl>=0.22,<0.23`.
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## Breaking changes
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## Deprecations
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* Deprecating Py2 support.
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# Release 0.21.6
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## Major Features and Improvements

g3doc/install.md

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other. This is determined by our testing framework, but other *untested*
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combinations may also work.
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tensorflow-model-analysis | tensorflow | apache-beam[gcp]
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------------------------------------------------------------------------------------ | ----------------- | ----------------
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[GitHub master](https://github.com/tensorflow/model-analysis/blob/master/RELEASE.md) | nightly (1.x/2.x) | 2.19.0
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[0.21.6](https://github.com/tensorflow/model-analysis/blob/v0.21.6/RELEASE.md) | 1.15 / 2.1 | 2.19.0
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[0.21.5](https://github.com/tensorflow/model-analysis/blob/v0.21.5/RELEASE.md) | 1.15 / 2.1 | 2.19.0
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[0.21.4](https://github.com/tensorflow/model-analysis/blob/v0.21.4/RELEASE.md) | 1.15 / 2.1 | 2.17.0
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[0.21.3](https://github.com/tensorflow/model-analysis/blob/v0.21.3/RELEASE.md) | 1.15 / 2.1 | 2.17.0
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[0.21.2](https://github.com/tensorflow/model-analysis/blob/v0.21.2/RELEASE.md) | 1.15 / 2.1 | 2.17.0
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[0.21.1](https://github.com/tensorflow/model-analysis/blob/v0.21.1/RELEASE.md) | 1.15 / 2.1 | 2.17.0
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[0.21.0](https://github.com/tensorflow/model-analysis/blob/v0.21.0/RELEASE.md) | 1.15 / 2.1 | 2.17.0
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[0.15.4](https://github.com/tensorflow/model-analysis/blob/v0.15.4/RELEASE.md) | 1.15 / 2.0 | 2.16.0
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[0.15.3](https://github.com/tensorflow/model-analysis/blob/v0.15.3/RELEASE.md) | 1.15 / 2.0 | 2.16.0
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[0.15.2](https://github.com/tensorflow/model-analysis/blob/v0.15.2/RELEASE.md) | 1.15 / 2.0 | 2.16.0
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[0.15.1](https://github.com/tensorflow/model-analysis/blob/v0.15.1/RELEASE.md) | 1.15 / 2.0 | 2.16.0
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[0.15.0](https://github.com/tensorflow/model-analysis/blob/v0.15.0/RELEASE.md) | 1.15 | 2.16.0
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[0.14.0](https://github.com/tensorflow/model-analysis/blob/v0.14.0/RELEASE.md) | 1.14 | 2.14.0
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[0.13.1](https://github.com/tensorflow/model-analysis/blob/v0.13.1/RELEASE.md) | 1.13 | 2.11.0
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[0.13.0](https://github.com/tensorflow/model-analysis/blob/v0.13.0/RELEASE.md) | 1.13 | 2.11.0
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0.12.1 | 1.12 | 2.10.0
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0.12.0 | 1.12 | 2.10.0
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[0.11.0](https://github.com/tensorflow/model-analysis/blob/v0.11.0/RELEASE.md) | 1.11 | 2.8.0
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[0.9.2](https://github.com/tensorflow/model-analysis/blob/v0.9.2/RELEASE.md) | 1.9 | 2.6.0
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[0.9.1](https://github.com/tensorflow/model-analysis/blob/v0.9.1/RELEASE.md) | 1.10 | 2.6.0
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[0.9.0](https://github.com/tensorflow/model-analysis/blob/v0.9.0/RELEASE.md) | 1.9 | 2.5.0
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[0.6.0](https://github.com/tensorflow/model-analysis/blob/v0.6.0/RELEASE.md) | 1.6 | 2.4.0
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tensorflow-model-analysis | tensorflow | apache-beam[gcp]
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------------------------------------------------------------------------------------ | ------------- | ----------------
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[GitHub master](https://github.com/tensorflow/model-analysis/blob/master/RELEASE.md) | nightly (2.x) | 2.20.0
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[0.22.0](https://github.com/tensorflow/model-analysis/blob/v0.22.0/RELEASE.md) | 1.15 / 2.2 | 2.20.0
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[0.21.6](https://github.com/tensorflow/model-analysis/blob/v0.21.6/RELEASE.md) | 1.15 / 2.1 | 2.19.0
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[0.21.5](https://github.com/tensorflow/model-analysis/blob/v0.21.5/RELEASE.md) | 1.15 / 2.1 | 2.19.0
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[0.21.4](https://github.com/tensorflow/model-analysis/blob/v0.21.4/RELEASE.md) | 1.15 / 2.1 | 2.17.0
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[0.21.3](https://github.com/tensorflow/model-analysis/blob/v0.21.3/RELEASE.md) | 1.15 / 2.1 | 2.17.0
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[0.21.2](https://github.com/tensorflow/model-analysis/blob/v0.21.2/RELEASE.md) | 1.15 / 2.1 | 2.17.0
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[0.21.1](https://github.com/tensorflow/model-analysis/blob/v0.21.1/RELEASE.md) | 1.15 / 2.1 | 2.17.0
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[0.21.0](https://github.com/tensorflow/model-analysis/blob/v0.21.0/RELEASE.md) | 1.15 / 2.1 | 2.17.0
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[0.15.4](https://github.com/tensorflow/model-analysis/blob/v0.15.4/RELEASE.md) | 1.15 / 2.0 | 2.16.0
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[0.15.3](https://github.com/tensorflow/model-analysis/blob/v0.15.3/RELEASE.md) | 1.15 / 2.0 | 2.16.0
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[0.15.2](https://github.com/tensorflow/model-analysis/blob/v0.15.2/RELEASE.md) | 1.15 / 2.0 | 2.16.0
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[0.15.1](https://github.com/tensorflow/model-analysis/blob/v0.15.1/RELEASE.md) | 1.15 / 2.0 | 2.16.0
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[0.15.0](https://github.com/tensorflow/model-analysis/blob/v0.15.0/RELEASE.md) | 1.15 | 2.16.0
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[0.14.0](https://github.com/tensorflow/model-analysis/blob/v0.14.0/RELEASE.md) | 1.14 | 2.14.0
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[0.13.1](https://github.com/tensorflow/model-analysis/blob/v0.13.1/RELEASE.md) | 1.13 | 2.11.0
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[0.13.0](https://github.com/tensorflow/model-analysis/blob/v0.13.0/RELEASE.md) | 1.13 | 2.11.0
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0.12.1 | 1.12 | 2.10.0
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0.12.0 | 1.12 | 2.10.0
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[0.11.0](https://github.com/tensorflow/model-analysis/blob/v0.11.0/RELEASE.md) | 1.11 | 2.8.0
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[0.9.2](https://github.com/tensorflow/model-analysis/blob/v0.9.2/RELEASE.md) | 1.9 | 2.6.0
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[0.9.1](https://github.com/tensorflow/model-analysis/blob/v0.9.1/RELEASE.md) | 1.10 | 2.6.0
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[0.9.0](https://github.com/tensorflow/model-analysis/blob/v0.9.0/RELEASE.md) | 1.9 | 2.5.0
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[0.6.0](https://github.com/tensorflow/model-analysis/blob/v0.6.0/RELEASE.md) | 1.6 | 2.4.0
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## Questions
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setup.py

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# TODO(b/149399451): remove once avro has a healthy release.
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('avro-python3>=1.8.1,!=1.9.2.*,<2.0.0; '
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'python_version=="3.5" and platform_system=="Darwin"'),
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'apache-beam[gcp]>=2.17,<3',
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'apache-beam[gcp]>=2.20,<3',
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'ipywidgets>=7,<8',
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'jupyter>=1,<2',
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'numpy>=1.16,<2',
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# Upgrade min version to 1.0 once we deprecate support for
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# Python 2.7 and 3.5
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# Python 3.5
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'pandas>=0.24,<2',
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'protobuf>=3.7,<4',
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'pyarrow>=0.16,<1',
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'scipy == 1.4.1;python_version>="3"',
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'scipy == 1.2.2;python_version<"3"',
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'six>=1.12,<2',
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'tensorflow>=1.15,<3',
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'tensorflow-metadata>=0.21,<0.22',
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# TODO(mdreves): Revisit this dependency before releasing.
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'tfx-bsl>=0.21.3,<0.23'
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'tensorflow>=1.15,!=2.0.*,<3',
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'tensorflow-metadata>=0.22,<0.23',
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'tfx-bsl>=0.22,<0.23'
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],
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'python_requires': '>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,<4',
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'python_requires': '>=3.5,<4',
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'packages': find_packages(),
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'zip_safe': False,
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'cmdclass': {
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'License :: OSI Approved :: Apache Software License',
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'Operating System :: OS Independent',
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'Programming Language :: Python',
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'Programming Language :: Python :: 2',
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'Programming Language :: Python :: 2.7',
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'Programming Language :: Python :: 3',
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'Programming Language :: Python :: 3.5',
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'Programming Language :: Python :: 3.6',
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'Programming Language :: Python :: 3.7',

tensorflow_model_analysis/notebook/jupyter/js/package.json

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{
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"name": "tensorflow_model_analysis",
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"version": "0.22.0.dev",
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"version": "0.22.0",
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"homepage": "https://github.com/tensorflow/model-analysis",
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"bugs": "https://github.com/tensorflow/model-analysis/issues",
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"license": "Apache-2.0",

tensorflow_model_analysis/version.py

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# Version string for this release of TFMA.
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# Note that setup.py reads and uses this version.
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VERSION = '0.22.0.dev'
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VERSION = '0.22.0'

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