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/
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for Galaxy_ML-0.8.1-cp36-cp36m-macosx_10_7_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 33f839b60283e192f962423455e4cec2b277ce9362231ce80ab8bb91e7c78ebe |
|
MD5 | 48ceea2e47c804071340eaf832fcf30a |
|
BLAKE2b-256 | 2b058fc243cd2c14e86e8a44547c91f39f8e2e7f9cde9d71f5d21a47c76e5453 |