Metadata-Version: 2.1
Name: skrebate
Version: 0.62
Summary: Relief-based feature selection algorithms
Home-page: https://github.com/EpistasisLab/scikit-rebate
Author: Randal S. Olson, Pete Schmitt, and Ryan J. Urbanowicz
Author-email: rso@randalolson.com, ryanurb@upenn.edu
License: License :: OSI Approved :: MIT License
Keywords: data mining,feature selection,feature importance,machine learning,data analysis,data engineering,data science
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Utilities
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: scikit-learn


A sklearn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms.

Contact
=============
If you have any questions or comments about skrebate, please feel free to contact us via e-mail: rso@randalolson.com and ryanurb@upenn.edu

This project is hosted at https://github.com/EpistasisLab/scikit-rebate
