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TFMA 0.34.0 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) | 2.31.0 | 2.0.0 | nightly (1.x/2.x) | 1.2.0 | 1.2.0 |
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|[GitHub master](https://github.com/tensorflow/model-analysis/blob/master/RELEASE.md) | 2.31.0 | 2.0.0 | nightly (1.x/2.x) | 1.2.0 | 1.3.1 |
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|[0.34.0](https://github.com/tensorflow/model-analysis/blob/v0.34.0/RELEASE.md) | 2.31.0 | 2.0.0 | 1.15 / 2.6 | 1.2.0 | 1.3.1 |
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|[0.33.0](https://github.com/tensorflow/model-analysis/blob/v0.33.0/RELEASE.md) | 2.31.0 | 2.0.0 | 1.15 / 2.5 | 1.2.0 | 1.2.0 |
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|[0.32.1](https://github.com/tensorflow/model-analysis/blob/v0.32.1/RELEASE.md) | 2.29.0 | 2.0.0 | 1.15 / 2.5 | 1.1.0 | 1.1.1 |
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|[0.32.0](https://github.com/tensorflow/model-analysis/blob/v0.32.0/RELEASE.md) | 2.29.0 | 2.0.0 | 1.15 / 2.5 | 1.1.0 | 1.1.0 |

RELEASE.md

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## Major Features and Improvements
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* Added SparseTensorValue and RaggedTensorValue types for storing in-memory
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versions of sparse and ragged tensor values used in extracts. Tensor values
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used for features, etc should now be based on either np.ndarray,
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SparseTensorValue, or RaggedTensorValue and not tf.compat.v1 value types.
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* Add CIDerivedMetricComputation metric type.
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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 0.34.0
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## Major Features and Improvements
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* Added `SparseTensorValue` and `RaggedTensorValue` types for storing
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in-memory versions of sparse and ragged tensor values used in extracts.
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Tensor values used for features, etc should now be based on either
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`np.ndarray`, `SparseTensorValue`, or `RaggedTensorValue` and not
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tf.compat.v1 value types.
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* Add `CIDerivedMetricComputation` metric type.
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## Bug fixes and other Changes
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* Depends on `apache-beam[gcp]>=2.31,<2.32`.
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* Depends on
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`tensorflow>=1.15.2,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,<3`.
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* Depends on `tfx-bsl>=1.3.1,<1.4.0`.
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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 0.33.0
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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) | 2.31.0 | 2.0.0 | nightly (1.x/2.x) | 1.2.0 | 1.2.0
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[GitHub master](https://github.com/tensorflow/model-analysis/blob/master/RELEASE.md) | 2.31.0 | 2.0.0 | nightly (1.x/2.x) | 1.2.0 | 1.3.1
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[0.34.0](https://github.com/tensorflow/model-analysis/blob/v0.34.0/RELEASE.md) | 2.31.0 | 2.0.0 | 1.15 / 2.6 | 1.2.0 | 1.3.1
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[0.33.0](https://github.com/tensorflow/model-analysis/blob/v0.33.0/RELEASE.md) | 2.31.0 | 2.0.0 | 1.15 / 2.5 | 1.2.0 | 1.2.0
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[0.32.1](https://github.com/tensorflow/model-analysis/blob/v0.32.1/RELEASE.md) | 2.29.0 | 2.0.0 | 1.15 / 2.5 | 1.1.0 | 1.1.1
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[0.32.0](https://github.com/tensorflow/model-analysis/blob/v0.32.0/RELEASE.md) | 2.29.0 | 2.0.0 | 1.15 / 2.5 | 1.1.0 | 1.1.0

setup.py

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nightly='>=1.3.0.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='>=1.2.0,<1.3.0',
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nightly='>=1.3.0.dev',
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default='>=1.3.1,<1.4.0',
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nightly='>=1.4.0.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": "0.34.0.dev",
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"version": "0.35.0.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 = '0.34.0.dev'
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VERSION = '0.35.0.dev'

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