Metadata-Version: 2.1
Name: tensorflow-transform
Version: 0.21.2
Summary: A library for data preprocessing with TensorFlow
Home-page: https://www.tensorflow.org/tfx/transform
Author: Google Inc.
Author-email: tensorflow-extended-dev@googlegroups.com
License: Apache 2.0
Download-URL: https://github.com/tensorflow/transform/tags
Description: <!-- See: www.tensorflow.org/tfx/transform/ -->
        
        # TensorFlow Transform
        
        [![Python](https://img.shields.io/pypi/pyversions/tensorflow-transform.svg?style=plastic)](https://github.com/tensorflow/transform)
        [![PyPI](https://badge.fury.io/py/tensorflow-transform.svg)](https://badge.fury.io/py/tensorflow-transform)
        [![Documentation](https://img.shields.io/badge/api-reference-blue.svg)](https://www.tensorflow.org/tfx/transform/api_docs/python/tft)
        
        *TensorFlow Transform* is a library for preprocessing data with TensorFlow.
        `tf.Transform` is useful for data that requires a full-pass, such as:
        
        * Normalize an input value by mean and standard deviation.
        * Convert strings to integers by generating a vocabulary over all input values.
        * Convert floats to integers by assigning them to buckets based on the observed
          data distribution.
        
        TensorFlow has built-in support for manipulations on a single example or a batch
        of examples. `tf.Transform` extends these capabilities to support full-passes
        over the example data.
        
        The output of `tf.Transform` is exported as a
        [TensorFlow graph](http://tensorflow.org/guide/graphs) to use for training and serving.
        Using the same graph for both training and serving can prevent skew since the
        same transformations are applied in both stages.
        
        For an introduction to `tf.Transform`, see the `tf.Transform` section of the
        TFX Dev Summit talk on TFX
        ([link](https://www.youtube.com/watch?v=vdG7uKQ2eKk&feature=youtu.be&t=199)).
        
        Caution: `tf.Transform` may be backwards incompatible before version 1.0.
        
        ## Installation
        
        The `tensorflow-transform`
        [PyPI package](https://pypi.org/project/tensorflow-transform/) is the
        recommended way to install `tf.Transform`:
        
        ```bash
        pip install tensorflow-transform
        ```
        
        ### Dependencies
        
        `tf.Transform` requires TensorFlow but does not depend on the `tensorflow`
        [PyPI package](https://pypi.org/project/tensorflow/). See the
        [TensorFlow install guides](https://www.tensorflow.org/install/) for
        instructions.
        
        [Apache Beam](https://beam.apache.org/) is required to run distributed analysis.
        By default, Apache Beam runs in local mode but can also run in distributed mode
        using [Google Cloud Dataflow](https://cloud.google.com/dataflow/).
        `tf.Transform` is designed to be extensible for other Apache Beam runners.
        
        ## Compatible versions
        
        The following table is the `tf.Transform` package versions that are
        compatible with each other. This is determined by our testing framework, but
        other *untested* combinations may also work.
        
        tensorflow-transform                                                            | tensorflow        | apache-beam[gcp]
        ------------------------------------------------------------------------------- | ----------------- | ----------------
        [GitHub master](https://github.com/tensorflow/transform/blob/master/RELEASE.md) | nightly (1.x/2.x) | 2.17.0
        [0.21.2](https://github.com/tensorflow/transform/blob/v0.21.2/RELEASE.md)       | 1.15 / 2.1        | 2.17.0
        [0.21.0](https://github.com/tensorflow/transform/blob/v0.21.0/RELEASE.md)       | 1.15 / 2.1        | 2.17.0
        [0.15.0](https://github.com/tensorflow/transform/blob/v0.15.0/RELEASE.md)       | 1.15 / 2.0        | 2.16.0
        [0.14.0](https://github.com/tensorflow/transform/blob/v0.14.0/RELEASE.md)       | 1.14              | 2.14.0
        [0.13.0](https://github.com/tensorflow/transform/blob/v0.13.0/RELEASE.md)       | 1.13              | 2.11.0
        [0.12.0](https://github.com/tensorflow/transform/blob/v0.12.0/RELEASE.md)       | 1.12              | 2.10.0
        [0.11.0](https://github.com/tensorflow/transform/blob/v0.11.0/RELEASE.md)       | 1.11              | 2.8.0
        [0.9.0](https://github.com/tensorflow/transform/blob/v0.9.0/RELEASE.md)         | 1.9               | 2.6.0
        [0.8.0](https://github.com/tensorflow/transform/blob/v0.8.0/RELEASE.md)         | 1.8               | 2.5.0
        [0.6.0](https://github.com/tensorflow/transform/blob/v0.6.0/RELEASE.md)         | 1.6               | 2.4.0
        [0.5.0](https://github.com/tensorflow/transform/blob/v0.5.0/RELEASE.md)         | 1.5               | 2.3.0
        [0.4.0](https://github.com/tensorflow/transform/blob/v0.4.0/RELEASE.md)         | 1.4               | 2.2.0
        [0.3.1](https://github.com/tensorflow/transform/blob/v0.3.1/RELEASE.md)         | 1.3               | 2.1.1
        [0.3.0](https://github.com/tensorflow/transform/blob/v0.3.0/RELEASE.md)         | 1.3               | 2.1.1
        [0.1.10](https://github.com/tensorflow/transform/blob/v0.1.10/RELEASE.md)       | 1.0               | 2.0.0
        
        ## Questions
        
        Please direct any questions about working with `tf.Transform` to
        [Stack Overflow](https://stackoverflow.com) using the
        [tensorflow-transform](https://stackoverflow.com/questions/tagged/tensorflow-transform)
        tag.
        
Keywords: tensorflow transform tfx
Platform: UNKNOWN
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