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https://github.com/tensorflow/metadata
Utilities for passing TensorFlow-related metadata between tools
https://github.com/tensorflow/metadata
Last synced: 3 days ago
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Utilities for passing TensorFlow-related metadata between tools
- Host: GitHub
- URL: https://github.com/tensorflow/metadata
- Owner: tensorflow
- License: apache-2.0
- Created: 2017-06-30T17:48:01.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2024-11-24T17:01:22.000Z (about 2 months ago)
- Last Synced: 2025-01-10T17:04:26.168Z (10 days ago)
- Language: Python
- Size: 434 KB
- Stars: 107
- Watchers: 18
- Forks: 50
- Open Issues: 9
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Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project
- awesome-production-machine-learning - TensorFlow Metadata - TensorFlow Metadata provides standard representations for metadata that are useful when training machine learning models with TensorFlow. (Metadata Management)
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.