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.
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Release files for tensorflow-metadata 0.22.1
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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
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| tensorflow_metadata-0.22.1-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Release files / tensorflow_metadata-0.22.1-py2.py3-none-any.whl
| Download URL | tensorflow_metadata-0.22.1-py2.py3-none-any.whl |
|---|---|
| Size | 31.5 kB |
| Tags | Python 2 Python 3 |
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