https://github.com/tensorflow/metadata
Utilities for passing TensorFlow-related metadata between tools
https://github.com/tensorflow/metadata
Last synced: 1 day 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 (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2025-04-10T18:11:44.000Z (5 days ago)
- Last Synced: 2025-04-14T08:16:56.920Z (1 day ago)
- Language: Python
- Size: 464 KB
- Stars: 109
- Watchers: 16
- Forks: 51
- 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
[](https://github.com/tensorflow/metadata)
[](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.