Metadata-Version: 2.1
Name: Galaxy-ML
Version: 0.7.11
Summary: Galaxy Machine Learning Library
Home-page: https://github.com/goeckslab/Galaxy-ML/
License: UNKNOWN
Platform: any
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Description-Content-Type: text/markdown
Requires-Dist: pyfaidx
Requires-Dist: pytabix
Requires-Dist: cython (>=0.29.11)
Requires-Dist: scipy (==1.3.0)
Requires-Dist: numpy (==1.16.4)
Requires-Dist: joblib (==0.13.2)
Requires-Dist: asteval (==0.9.13)
Requires-Dist: pandas (==0.23.4)
Requires-Dist: scikit-learn (==0.20.3)
Requires-Dist: xgboost (==0.80)
Requires-Dist: mlxtend (==0.16.0)
Requires-Dist: skrebate (==0.6)
Requires-Dist: imbalanced-learn (==0.4.3)
Requires-Dist: tensorflow (==1.13.1)
Requires-Dist: Keras (==2.2.4)
Provides-Extra: docs
Requires-Dist: mkdocs ; extra == 'docs'



This library contains APIs for
[Galaxy](https://github.com/galaxyproject/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/



