Metadata-Version: 2.1
Name: sklearn-sfa
Version: 0.1.1
Summary: A scikit-learn compatible implementation of Slow Feature Analysis
Home-page: https://github.com/wiskott-lab/sklearn-sfa
Maintainer: Merlin Schüler
Maintainer-email: merlin.schueler@ini.ruhr-uni-bochum.de
License: new BSD
Download-URL: https://github.com/wiskott-lab/sklearn-sfa
Description: .. -*- mode: rst -*-
        
        sklearn-sfa - An implementation of Slow Feature Analysis compatible with scikit-learn
        =====================================================================================
        
        .. _scikit-learn: https://scikit-learn.org
        
        .. _documentation: https://sklearn-sfa.readthedocs.io/en/latest/index.html
        
        **sklearn-sfa** or **sksfa** is an implementation of Slow Feature Analysis for scikit-learn_.
        
        It is meant as a standalone transformer for dimensionality reduction or as a building block
        for more complex representation learning pipelines utilizing scikit-learn's extensive collection
        of machine learning methods.
        
        The package contains a solver for linear SFA and some auxiliary functions. The documentation_ 
        provides an explanation of the algorithm, different use-cases, as well as pointers how to 
        fully utilize SFA's potential, e.g., by employing non-linear basis functions or more sophisticated 
        architectures.
        
        
        
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Provides-Extra: tests
Provides-Extra: docs
