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
Metadata
2 maintainers
Release files for tensorflow-metadata 1.5.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tensorflow_metadata-1.5.0-py3-none-any.whl | Python 3 | none | any | Details |
Release files / tensorflow_metadata-1.5.0-py3-none-any.whl
| Download URL | tensorflow_metadata-1.5.0-py3-none-any.whl |
|---|---|
| Size | 48.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
982aa5715a306c5fcce0817da49ad0892f5d977db37e1811c34013ba4da06207
|
|
BLAKE2b-256 checksum How to use checksums |
81e6193d9637b844f88797199fced0e3baa893dd110bdca34b5708b49120ae30
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.11
|
