Metadata-Version: 2.1
Name: weles
Version: 0.6
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
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
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: scikit-learn

# Weles
> 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`
- tests
  - `t_test_corrected`
  - `t_test_13`
  - `t_test_rel`


