A unified wrapper for various ML frameworks - to have one uniform scikit-learn format for predict and predict_proba functions.
MIT License
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Published by imatiach-msft about 2 years ago
Full Changelog: https://github.com/microsoft/ml-wrappers/compare/v0.2.0...v0.2.1
Published by imatiach-msft over 2 years ago
Full Changelog: https://github.com/microsoft/ml-wrappers/compare/v0.1.0...v0.2.0
Published by imatiach-msft over 2 years ago
Published by imatiach-msft almost 3 years ago
Published by imatiach-msft almost 3 years ago
Published by imatiach-msft almost 3 years ago
Published by imatiach-msft almost 3 years ago
Published by imatiach-msft almost 3 years ago
Published by imatiach-msft almost 3 years ago
Initial release of ml-wrappers package
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