Machine Learning Wrappers SDK for Python
This package has been tested with Python 3.9, 3.10 and 3.11
The Machine Learning Wrappers SDK provides a unified wrapper for various ML frameworks - to have one uniform scikit-learn format predict and predict_proba functions.
Highlights of the package include:
- A dataset wrapper to handle scipy sparse, pandas and numpy datasets in a uniform manner.
- A model wrapper to handle models from various frameworks uniformly, including scikit-learn, tensorflow, pytorch, lightgbm and xgboost
Please see the github website for the documentation and sample notebooks: https://github.com/microsoft/ml-wrappers
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Release files for ml-wrappers 0.6.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ml_wrappers-0.6.3.tar.gz | 41.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ml_wrappers-0.6.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 95.6 kB
Release files / ml_wrappers-0.6.3.tar.gz
| Download URL | ml_wrappers-0.6.3.tar.gz |
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| Size | 41.9 kB |
| Tags | Source |
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Release files / ml_wrappers-0.6.3-py3-none-any.whl
| Download URL | ml_wrappers-0.6.3-py3-none-any.whl |
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| Size | 53.8 kB |
| Tags | Python 3 |
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