Metadata-Version: 2.1
Name: tfx
Version: 0.12.0rc2
Summary: TensorFlow Extended (TFX) is a TensorFlow-based general-purpose machine learning platform implemented at Google
Home-page: https://www.tensorflow.org/tfx
Author: Google LLC
Author-email: tensorflow-extended-dev@googlegroups.com
License: Apache 2.0
Download-URL: https://github.com/tensorflow/tfx/tags
Keywords: tensorflow tfx
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 2 :: Only
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=2.7,<3
Description-Content-Type: text/markdown
Requires-Dist: absl-py (<1,>=0.1.6)
Requires-Dist: apache-beam[gcp] (<3,>=2.11)
Requires-Dist: google-api-python-client (<2,>=1.7.8)
Requires-Dist: ml-metadata (<0.14,>=0.13.2)
Requires-Dist: protobuf (<4,>=3.7)
Requires-Dist: six (<2,>=1.10)
Requires-Dist: tensorflow-data-validation (<0.14,>=0.13)
Requires-Dist: tensorflow-model-analysis (<0.14,>=0.13)
Requires-Dist: tensorflow-transform (<0.14,>=0.13)

<!-- See: www.tensorflow.org/tfx/ -->

# TFX

[![Python](https://img.shields.io/pypi/pyversions/tfx.svg?style=plastic)](https://github.com/tensorflow/tfx)
[![PyPI](https://badge.fury.io/py/tfx.svg)](https://badge.fury.io/py/tfx)

TensorFlow Extended (TFX) is a TensorFlow-based general-purpose machine learning
platform implemented at Google. We’ve open sourced some of the TFX libraries
listed below. The [TFX repository](https://github.com/tensorflow/tfx) will
contain horizontal components that integrate these libraries in one platform.
For now, it will include examples of how to use the already open sourced TFX
libraries together.

## Examples

*   [Chicago Taxi Example](https://github.com/tensorflow/tfx/tree/master/examples/chicago_taxi_pipeline)

## Available TFX libraries

### [TensorFlow Data Validation](https://github.com/tensorflow/data-validation)

A library for exploring and validating machine learning data.

### [TensorFlow Transform](https://github.com/tensorflow/transform)

A preprocessing pipeline to perform full-pass analyze phases over data to create
transformation graphs that are consistently applied during training and serving.

### [TensorFlow Model Analysis](https://github.com/tensorflow/model-analysis)

Libraries and visualization components to compute full-pass and sliced model
metrics over large datasets, and analyze them in a notebook.

### [TensorFlow Serving](https://github.com/tensorflow/serving)

A flexible, high-performance serving system for machine learning models,
designed for production environments.

## Compatible versions
* ml-metadata

The following table describes how the `tfx` package versions are compatible
with its major dependency Pypi packages. This is determined by our testing
framework, but other *untested* combinations may also work.

|tfx                                                                                |tensorflow    |apache-beam[gcp]|tensorflow-data-validation|tensorflow-model-analysis|tensorflow-transform|ml-metadata|tensorflow-metadata|
|-----------------------------------------------------------------------------------|--------------|----------------|--------------------------|--------------------------------|--------------------|-----------|-------------------|
|[GitHub master](https://github.com/tensorflow/tfx/blob/master/tfx/g3doc/RELEASE.md)|nightly (1.x) |2.10.0          |0.12.0                    |0.12.1                           |0.12.0              |0.13.1     |0.12.1             |


