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tf-transform-teamtfx-copybara
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Depends upon Tensorflow 2.15
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README.md

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@@ -19,9 +19,9 @@ of examples. `tf.Transform` extends these capabilities to support full-passes
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over the example data.
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The output of `tf.Transform` is exported as a
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[TensorFlow graph](http://tensorflow.org/guide/graphs) to use for training and serving.
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Using the same graph for both training and serving can prevent skew since the
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same transformations are applied in both stages.
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[TensorFlow graph](http://tensorflow.org/guide/graphs) to use for training and
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serving. Using the same graph for both training and serving can prevent skew
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since the same transformations are applied in both stages.
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For an introduction to `tf.Transform`, see the `tf.Transform` section of the
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TFX Dev Summit talk on TFX
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tensorflow-transform | apache-beam[gcp] | pyarrow | tensorflow | tensorflow-metadata | tfx-bsl |
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------------------------------------------------------------------------------- | -----------------| --------|-------------------|---------------------|---------|
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[GitHub master](https://github.com/tensorflow/transform/blob/master/RELEASE.md) | 2.47.0 | 10.0.0 | nightly (2.x) | 1.15.0 | 1.15.0 |
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[1.15.0](https://github.com/tensorflow/transform/blob/v1.15.0/RELEASE.md) | 2.47.0 | 10.0.0 | 2.14 | 1.15.0 | 1.15.0 |
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[GitHub master](https://github.com/tensorflow/transform/blob/master/RELEASE.md) | 2.47.0 | 10.0.0 | nightly (2.x) | 1.15.0 | 1.15.1 |
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[1.15.0](https://github.com/tensorflow/transform/blob/v1.15.0/RELEASE.md) | 2.47.0 | 10.0.0 | 2.15 | 1.15.0 | 1.15.1 |
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[1.14.0](https://github.com/tensorflow/transform/blob/v1.14.0/RELEASE.md) | 2.47.0 | 10.0.0 | 2.13 | 1.14.0 | 1.14.0 |
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[1.13.0](https://github.com/tensorflow/transform/blob/v1.13.0/RELEASE.md) | 2.41.0 | 6.0.0 | 2.12 | 1.13.1 | 1.13.0 |
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[1.12.0](https://github.com/tensorflow/transform/blob/v1.12.0/RELEASE.md) | 2.41.0 | 6.0.0 | 2.11 | 1.12.0 | 1.12.0 |

RELEASE.md

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(previously was 16.04).
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* Explicitly use Keras 2 or `tf_keras`` if Keras 3 is installed.
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* Added python 3.11 support.
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* Depends on `tensorflow~=2.15`.
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* Depends on `tensorflow 2.15`.
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* Enable passing `tf.saved_model.SaveOptions` to model saving functionality.
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* Census and sentiment examples updated to only use Keras instead of
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estimator.

docs/install.md

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tensorflow-transform | apache-beam[gcp] | pyarrow | tensorflow | tensorflow-metadata | tfx-bsl
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------------------------------------------------------------------------------- | ---------------- | ------- | ----------------- | ------------------- | -------
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[GitHub master](https://github.com/tensorflow/transform/blob/master/RELEASE.md) | 2.47.0 | 10.0.0 | nightly (2.x) | 1.15.0 | 1.15.0
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[1.15.0](https://github.com/tensorflow/transform/blob/v1.15.0/RELEASE.md) | 2.47.0 | 10.0.0 | 2.14 | 1.15.0 | 1.15.0
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[GitHub master](https://github.com/tensorflow/transform/blob/master/RELEASE.md) | 2.47.0 | 10.0.0 | nightly (2.x) | 1.15.0 | 1.15.1
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[1.15.0](https://github.com/tensorflow/transform/blob/v1.15.0/RELEASE.md) | 2.47.0 | 10.0.0 | 2.15 | 1.15.0 | 1.15.1
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[1.14.0](https://github.com/tensorflow/transform/blob/v1.14.0/RELEASE.md) | 2.47.0 | 10.0.0 | 2.13 | 1.14.0 | 1.14.0
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[1.13.0](https://github.com/tensorflow/transform/blob/v1.13.0/RELEASE.md) | 2.41.0 | 6.0.0 | 2.12 | 1.13.1 | 1.13.0
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[1.12.0](https://github.com/tensorflow/transform/blob/v1.12.0/RELEASE.md) | 2.41.0 | 6.0.0 | 2.11 | 1.12.0 | 1.12.0

setup.py

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'protobuf>=3.20.3,<5;python_version<"3.11"',
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'pyarrow>=10,<11',
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'pydot>=1.2,<2',
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'tensorflow~=2.15',
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'tensorflow>=2.15,<2.16',
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'tensorflow-metadata' + select_constraint(
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default='>=1.15.0,<1.16.0',
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nightly='>=1.16.0.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='>=1.15.0,<1.16.0',
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default='>=1.15.1,<1.16.0',
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nightly='>=1.16.0.dev',
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git_master='@git+https://github.com/tensorflow/tfx-bsl@master'),
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]

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