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Galaxy Machine Learning Library

Project description

This library contains APIs for Galaxy machine learning tools(Galaxy-ML).

Galaxy-ML is a web machine learning end-to-end pipeline building framework, with special support to biomedical data. Under the management of unified scikit-learn APIs, cutting-edge machine learning libraries (scikit-learn, keras, mlxtend, imbalanced-learn, and more) are combined together to provide thousands of different pipelines suitable for various needs. In the form of Galalxy tools, Galaxy-ML provides scalabe, reproducible and transparent machine learning computations.

This library and tools are hosted at https://github.com/geockslab/Galaxy-ML.

The documentation can be found at https://goeckslab.github.io/Galaxy-ML/

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Files for Galaxy-ML, version 0.8.2
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Filename, size Galaxy_ML-0.8.2-cp36-cp36m-macosx_10_7_x86_64.whl (274.2 kB) File type Wheel Python version cp36 Upload date Hashes View
Filename, size Galaxy-ML-0.8.2.tar.gz (210.6 kB) File type Source Python version None Upload date Hashes View

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