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TFMA 0.25.0 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) | 2.24.0 | 0.17.0 | nightly (1.x/2.x) | 0.24.0 | 0.24.1 |
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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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|[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 |
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|[0.24.1](https://github.com/tensorflow/model-analysis/blob/v0.24.1/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 0.25.0
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## Major Features and Improvements
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* Added support for reading and writing metrics, plots and validation results
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using Apache Parquet.
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* Updated the FI indicator slicing selection UI.
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examples.
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* Fix issue with using NDCG metric without binarization settings.
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* Fix incorrect computation when example weight is set to zero.
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* Depends on `apache-beam[gcp]>=2.25,<3`.
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* Depends on `tensorflow-metadata>=0.25.0,<0.26.0`.
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* Depends on `tfx-bsl>=0.25.0,<0.26.0`.
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## Breaking changes
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g3doc/install.md

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The recommended way to install TFMA is using the
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[PyPI package](https://pypi.org/project/tensorflow-model-analysis/):
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<pre class="devsite-terminal devsite-click-to-copy">
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pip install tensorflow-model-analysis
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</pre>
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### Nightly Packages
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TFMA also hosts nightly packages at https://pypi-nightly.tensorflow.org on
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Google Cloud. To install the latest nightly package, please use the following
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command:
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```
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<pre class="devsite-terminal devsite-click-to-copy">
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pip install -i https://pypi-nightly.tensorflow.org/simple tensorflow-model-analysis
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```
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</pre>
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This will install the nightly packages for the major dependencies of TFMA such
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as TensorFlow Metadata (TFMD), TFX Basic Shared Libraries (TFX-BSL).
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Note: These nightly packages are unstable and breakages are likely to happen.
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The fix could often take a week or more depending on the complexity involved.
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<pre class="devsite-terminal devsite-click-to-copy">
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pip install tensorflow-model-analysis
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</pre>
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Currently, TFMA requires that TensorFlow is installed but does not have an
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explicit dependency on the TensorFlow PyPI package. See the
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[TensorFlow install guides](https://www.tensorflow.org/install) for
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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) | 2.24.0 | 0.17.0 | nightly (1.x/2.x) | 0.24.0 | 0.24.1
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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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[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
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[0.24.1](https://github.com/tensorflow/model-analysis/blob/v0.24.1/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]>=2.24,<3',
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'apache-beam[gcp]>=2.25,<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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'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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'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_model_analysis/notebook/jupyter/js/package.json

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{
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"name": "tensorflow_model_analysis",
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"version": "0.25.0.dev",
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"version": "0.26.0.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 = '0.25.0.dev'
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VERSION = '0.26.0.dev'

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