Metadata-Version: 2.1
Name: tfx
Version: 0.12.0rc0
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://pypi.org/project/tfx
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 (<0.2,>=0.1.6)
Requires-Dist: apache-beam[gcp] (<3,>=2.10)
Requires-Dist: ml-metadata (==0.13.1.dev0)
Requires-Dist: protobuf (<4,>=3.7)
Requires-Dist: six (<2,>=1.10)
Requires-Dist: tensorflow-data-validation (<0.13,>=0.12.0)
Requires-Dist: tensorflow-model-analysis (<0.13,>=0.12.0)
Requires-Dist: tensorflow-transform (<0.13,>=0.12.0)

# 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](./examples/chicago_taxi)

## 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.


