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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.
1 maintainer
Metadata
1 maintainer
Release files for tensorflow-metadata-czgdp1807 1.18.0.dev1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| tensorflow_metadata_czgdp1807-1.18.0.dev1.tar.gz | 26.5 kB | With provenance | Details for tensorflow_metadata_czgdp1807-1.18.0.dev1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| tensorflow_metadata_czgdp1807-1.18.0.dev1-py3-none-any.whl | Python 3 | none | any | Details for tensorflow_metadata_czgdp1807-1.18.0.dev1-py3-none-any.whl |
Total release size: 58.2 kB
Release files / tensorflow_metadata_czgdp1807-1.18.0.dev1.tar.gz
| Download URL | tensorflow_metadata_czgdp1807-1.18.0.dev1.tar.gz |
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| Size | 26.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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| Download URL | tensorflow_metadata_czgdp1807-1.18.0.dev1-py3-none-any.whl |
|---|---|
| Size | 31.7 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Yes |
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twine/6.1.0 CPython/3.12.8
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