# metadata

**Repository Path**: mirrors_tensorflow/metadata

## Basic Information

- **Project Name**: metadata
- **Description**: Utilities for passing TensorFlow-related metadata between tools
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-08-22
- **Last Updated**: 2026-02-21

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 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.