sparsereg

|travis| |pypi| |codecov| |zenodo|

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

Installation

pip install sparsereg

Citation

If you use sparsereg please consider a citation:

::

@misc{markus_quade_sparsereg,
  author       = {Markus Quade},
  title        = {sparsereg - collection of modern sparse regression algorithms},
  month        = feb,
  year         = 2018,
  doi          = {10.5281/zenodo.1173754},
  url          = {https://github.com/ohjeah/sparsereg}
}

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>__
• Bouchard, Kristofer E. “Bootstrapped Adaptive Threshold Selection for
  Statistical Model Selection and Estimation.” arXiv preprint
  arXiv:1505.03511 (2015).
• Ignacio Arnaldo, Una-May O’Reilly, and Kalyan Veeramachaneni.
  “Building Predictive Models via Feature Synthesis.” In Proceedings of
  the 2015 Annual Conference on Genetic and Evolutionary Computation
  (GECCO ’15), Sara Silva (Ed.). ACM, New York, NY, USA, 983-990. DOI: 10.1145/2739480.2754693 <http://dx.doi.org/10.1145/2739480.2754693>__

.. |travis| image:: https://travis-ci.org/Ohjeah/sparsereg.svg?branch=master
:target: https://travis-ci.org/Ohjeah/sparsereg
.. |pypi| image:: https://badge.fury.io/py/sparsereg.svg
:target: https://badge.fury.io/py/sparsereg
.. |codecov| image:: https://codecov.io/gh/Ohjeah/sparsereg/branch/master/graph/badge.svg
:target: https://codecov.io/gh/Ohjeah/sparsereg
.. |zenodo| image:: https://zenodo.org/badge/80389199.svg
:target: https://zenodo.org/badge/latestdoi/80389199