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TFMA 0.26.0 Release
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README.md

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|tensorflow-model-analysis |apache-beam[gcp]|pyarrow |tensorflow |tensorflow-metadata |tfx-bsl |
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|------------------------------------------------------------------------------------ |----------------|----------|-------------------|--------------------|----------|
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|[GitHub master](https://github.com/tensorflow/model-analysis/blob/master/RELEASE.md) | 2.25.0 | 0.17.0 | nightly (1.x/2.x) | 0.25.0 | 0.25.0 |
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|[GitHub master](https://github.com/tensorflow/model-analysis/blob/master/RELEASE.md) | 2.25.0 | 0.17.0 | nightly (1.x/2.x) | 0.26.0 | 0.26.0 |
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|[0.26.0](https://github.com/tensorflow/model-analysis/blob/v0.26.0/RELEASE.md) | 2.25.0 | 0.17.0 | 1.15 / 2.3 | 0.26.0 | 0.26.0 |
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|[0.25.0](https://github.com/tensorflow/model-analysis/blob/v0.25.0/RELEASE.md) | 2.25.0 | 0.17.0 | 1.15 / 2.3 | 0.25.0 | 0.25.0 |
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|[0.24.3](https://github.com/tensorflow/model-analysis/blob/v0.24.3/RELEASE.md) | 2.24.0 | 0.17.0 | 1.15 / 2.3 | 0.24.0 | 0.24.1 |
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|[0.24.2](https://github.com/tensorflow/model-analysis/blob/v0.24.2/RELEASE.md) | 2.23.0 | 0.17.0 | 1.15 / 2.3 | 0.24.0 | 0.24.0 |

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 0.26.0
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## Major Features and Improvements
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* Added support for aggregating feature attributions using special metrics
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that extend from `tfma.metrics.AttributionMetric` (e.g.
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`tfma.metrics.TotalAttributions`, `tfma.metrics.TotalAbsoluteAttributions`).
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slice if the same slice key were generated from more than one SlicingSpec.
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* Add threshold support for confidence interval type metrics based on its
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unsampled_value.
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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,<0.27.0`.
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* Depends on `tfx-bsl>=0.26.0,<0.27.0`.
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## Breaking changes
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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-model-analysis | apache-beam[gcp] | pyarrow | tensorflow | tensorflow-metadata | tfx-bsl
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------------------------------------------------------------------------------------ | ---------------- | ------- | ----------------- | ------------------- | -------
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[GitHub master](https://github.com/tensorflow/model-analysis/blob/master/RELEASE.md) | 2.25.0 | 0.17.0 | nightly (1.x/2.x) | 0.25.0 | 0.25.0
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[GitHub master](https://github.com/tensorflow/model-analysis/blob/master/RELEASE.md) | 2.25.0 | 0.17.0 | nightly (1.x/2.x) | 0.26.0 | 0.26.0
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[0.26.0](https://github.com/tensorflow/model-analysis/blob/v0.26.0/RELEASE.md) | 2.25.0 | 0.17.0 | 1.15 / 2.3 | 0.26.0 | 0.26.0
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[0.25.0](https://github.com/tensorflow/model-analysis/blob/v0.25.0/RELEASE.md) | 2.25.0 | 0.17.0 | 1.15 / 2.3 | 0.25.0 | 0.25.0
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[0.24.3](https://github.com/tensorflow/model-analysis/blob/v0.24.3/RELEASE.md) | 2.24.0 | 0.17.0 | 1.15 / 2.3 | 0.24.0 | 0.24.1
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[0.24.2](https://github.com/tensorflow/model-analysis/blob/v0.24.2/RELEASE.md) | 2.23.0 | 0.17.0 | 1.15 / 2.3 | 0.24.0 | 0.24.0

setup.py

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'install_requires': [
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# Sort alphabetically
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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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'ipython>=7,<8',
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'ipywidgets>=7,<8',
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'numpy>=1.16,<2',
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'pyarrow>=0.17,<0.18',
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'scipy>=1.4.1,<2',
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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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'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_model_analysis/notebook/jupyter/js/package.json

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{
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"name": "tensorflow_model_analysis",
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"version": "0.26.0.dev",
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"version": "0.27.0.dev",
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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 = '0.26.0.dev'
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VERSION = '0.27.0.dev'

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