Metadata-Version: 2.1
Name: groupyr
Version: 0.1.dev3364118203
Summary: groupyr: Sparse Groups Lasso in Python
Home-page: https://richford.github.io/groupyr
Author: Adam Richie-Halford
Author-email: richiehalford@gmail.com
Maintainer: Adam Richie-Halford
Maintainer-email: richiehalford@gmail.com
License: BSD License
Download-URL: https://github.com/richford/groupyr
Description: ![groupyr logo](https://raw.githubusercontent.com/richford/groupyr/main/doc/images/groupyr-logo-large.svg)
        
        # _groupyr_: Sparse Group Lasso in Python
        
        [![Build Status](https://github.com/richford/groupyr/workflows/build/badge.svg)](https://github.com/richford/groupyr/workflows/test/badge.svg)
        [![Coverage Status](https://coveralls.io/repos/github/richford/groupyr/badge.svg?branch=main)](https://coveralls.io/github/richford/groupyr?branch=main)
        [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/python/black)
        [![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](https://opensource.org/licenses/BSD-3-Clause)
        
        <!-- [![DOI](https://zenodo.org/badge/102051437.svg)](https://zenodo.org/badge/latestdoi/102051437) -->
        
        _groupyr_ is a Python library for penalized regression of grouped covariates.
        This is the _groupyr_ development site. You can view the source code, file new issues, and contribute to _groupyr_'s development. If you just want to learn how to install and use _groupyr_, please look at the [_groupyr_ documentation](https://richford.github.io/groupyr/).
        
        ## Contributing
        
        We love contributions! _groupyr_ is open source, built on open source,
        and we'd love to have you hang out in our community.
        
        We have developed some [guidelines](.github/CONTRIBUTING.md) for contributing to
        _groupyr_.
        
        ## Citing _groupyr_
        
        If you use _groupyr_ in a scientific publication, please see our [citation
        instructions](https://richford/github.io/groupyr/index.html#citing-groupyr).
        
        ## Acknowledgements
        
        _groupyr_ development is supported through a grant from the [Gordon
        and Betty Moore Foundation](https://www.moore.org/) and from the
        [Alfred P. Sloan Foundation](https://sloan.org/) to the [University of
        Washington eScience Institute](http://escience.washington.edu/), as
        well as NIH Collaborative Research in Computational Neuroscience grant
        R01EB027585-01 through the National Institute of Biomedical Imaging and
        Bioengineering to Eleftherios Garyfallidis (Indiana University) and
        Ariel Rokem (University of Washington).
        
        The API design of _groupyr_ was facilitated by the [scikit-learn project
        template](https://github.com/scikit-learn-contrib/project-template) and it
        therefore borrows heavily from
        [scikit-learn](https://scikit-learn.org/stable/index.html). _groupyr_ relies
        on the [copt optimization library](http://openo.pt/copt/index.html) for its
        solver. The _groupyr_ logo is a flipped silhouette of an [image from J. E.
        Randall](https://commons.wikimedia.org/wiki/File:Epinephelus_amblycephalus,_banded_grouper.jpg)
        and is licensed [CC BY-SA](https://creativecommons.org/licenses/by-sa/3.0).
        
Platform: OS Independent
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: dev
