Metadata-Version: 2.4
Name: tensorflow-metadata
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Summary: Library and standards for schema and statistics.
Download-URL: https://github.com/tensorflow/metadata/tags
Author: Google Inc.
Author-email: tensorflow-extended-dev@googlegroups.com
License: Apache 2.0
Keywords: tensorflow metadata tfx
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Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3 :: Only
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: >=3.9,<4
Description-Content-Type: text/markdown
License-File: LICENSE
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Dynamic: author
Dynamic: author-email
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# TensorFlow Metadata

[![Python](https://img.shields.io/badge/python%7C3.9%7C3.10%7C3.11-blue)](https://github.com/tensorflow/metadata)
[![PyPI](https://badge.fury.io/py/tensorflow-metadata.svg)](https://badge.fury.io/py/tensorflow-metadata)

TensorFlow Metadata provides standard representations for metadata that are
useful when training machine learning models with TensorFlow.

The metadata serialization formats include:

* A schema describing tabular data (e.g., tf.Examples).
* A collection of summary statistics over such datasets.
* A problem statement quantifying the objectives of a model.

The metadata may be produced by hand or automatically during input data
analysis, and may be consumed for data validation, exploration, and
transformation.
