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.
2 maintainers
Release files for tensorflow-metadata 0.13.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tensorflow_metadata-0.13.0-py3-none-any.whl | Python 3 | none | any | Details |
| tensorflow_metadata-0.13.0-py2-none-any.whl | Python 2 | none | any | Details |
Total release size: 51.8 kB
Release files / tensorflow_metadata-0.13.0-py3-none-any.whl
| Download URL | tensorflow_metadata-0.13.0-py3-none-any.whl |
|---|---|
| Size | 25.9 kB |
| Tags | Python 3 |
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Release files / tensorflow_metadata-0.13.0-py2-none-any.whl
| Download URL | tensorflow_metadata-0.13.0-py2-none-any.whl |
|---|---|
| Size | 25.9 kB |
| Tags | Python 2 |
|
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twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.8.0 tqdm/4.30.0 CPython/2.7.14+
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