Metadata-Version: 2.0
Name: sparsereg
Version: 0.2.3
Summary: Modern sparse linear regression
Home-page: https://github.com/ohjeah/sparsereg
Author: Markus Quade
Author-email: info@markusqua.de
License: MIT
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Requires-Dist: joblib
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: symfeat


sparsereg
=========

.. image:: https://travis-ci.org/Ohjeah/sparsereg.svg?branch=master
    :target: https://travis-ci.org/Ohjeah/sparsereg
.. image:: https://badge.fury.io/py/sparsereg.svg
    :target: https://badge.fury.io/py/sparsereg

**sparsereg** is a collection of modern sparse (regularized) linear regression algorithms.


Implemented algorithms
----------------------

- Mcconaghy, T. (2011). FFX: Fast, Scalable, Deterministic Symbolic Regression Technology. Genetic Programming Theory and Practice IX, 235-260. `DOI: 10.1007/978-1-4614-1770-5\_13 <http://dx.doi.org/10.1007/978-1-4614-1770-5_13>`_

- Brunton, Steven L., Joshua L. Proctor, and J. Nathan Kutz. "Discovering governing equations from data by sparse identification of nonlinear dynamical systems." Proceedings of the National Academy of Sciences 113.15 (2016): 3932-3937. `DOI: 10.1073/pnas.1517384113 <http://dx.doi.org/10.1073/pnas.1517384113>`_

Installation
------------

``pip install sparsereg``


