Metadata-Version: 1.1
Name: coroICA
Version: 0.1.21
Summary: coroICA (scikit-learn compatible)
Home-page: http://github.com/sweichwald/coroICA-python
Author: Niklas Pfister and Sebastian Weichwald
Author-email: UNKNOWN
License: AGPL-3.0
Description-Content-Type: UNKNOWN
Description: |PyPI version| |Build Status|
        
        coroICA-python
        ==============
        
        Please refer to the project website at https://sweichwald.de/coroICA/.
        We kindly ask you to cite the accompanying article (see below), in case
        this package should prove useful for some work you are publishing.
        
        Quick install
        
        ::
        
            pip install coroICA
        
        The developer documentation is available at
        https://sweichwald.de/coroICA-python.
        
        This repository holds the source of the `coroICA
        package <https://pypi.org/project/coroICA/>`__ which implements the
        coroICA algorithm presented in `Robustifying Independent Component
        Analysis by Adjusting for Group-Wise Stationary
        Noise <https://arxiv.org/abs/1806.01094>`__ by N Pfister\ *, S
        Weichwald*, P Bühlmann, B Schölkopf.
        
        Furthermore, as a courtesy to other python users, this package contains
        implementations of \* uwedge, an approximate matrix joint
        diagonalisation algorithm described
        `here <https://doi.org/10.1109/TSP.2008.2009271>`__, and \*
        ``uwedgeICA``, which essentially—for the right choice of ``timelag``
        parameters—amounts to an implementation of several
        second-order-statistics-based ICA algorithms such as
        SOBI/NSS-JD/NSS-TD-JD (please refer to the coroICA website and article
        mentioned above for more details on this),
        
        which may be helpful in their own right independent of the
        confounding-robust ICA.
        
        .. |PyPI version| image:: https://badge.fury.io/py/coroICA.svg
           :target: https://badge.fury.io/py/coroICA
        .. |Build Status| image:: https://travis-ci.org/sweichwald/coroICA-python.svg?branch=master
           :target: https://travis-ci.org/sweichwald/coroICA-python
        
        
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU Affero General Public License v3
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development
