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Library and standards for schema and statistics.

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TensorFlow Metadata

Python PyPI

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.

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