Metadata-Version: 2.1
Name: weles
Version: 0.6.2
Summary: Supplementary scikit-learn package with methods developed in W4K2.
Home-page: https://github.com/w4k2/weles
Maintainer: P. Ksieniewicz
Maintainer-email: pawel.ksieniewicz@pwr.edu.pl
License: GPL-3.0
Download-URL: https://github.com/w4k2/weles
Description: # Weles [![Build Status](https://travis-ci.org/w4k2/weles.svg?branch=master)](https://travis-ci.org/w4k2/weles) [![Coverage Status](https://coveralls.io/repos/github/w4k2/weles/badge.svg?branch=master)](https://coveralls.io/github/w4k2/weles?branch=master)
        
        Collection of various pattern recognition methods and experimental tools made by Machine Learning Group of Wrocław University of Science and Technology
        
        ## Current contents
        
        - classifiers
          - `ExposerClassifier`
          - `LinearClassifier`
          - `SSGNB`
        - ensemble
          - `Cluens`
          - `Geometron`
          - `GES`
          - `NURS`
          - `RandomSubspace`
          - `UMCE`
        - meta
          - `PCASSE`
        - optimizers
          - `RAO`
        - statistics
          - `t_test_corrected`
          - `t_test_13`
          - `t_test_rel`
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Description-Content-Type: text/markdown
