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            "License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)",
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        "description": "sparsereg\n=========\n\n|travis| |pypi| |codecov| |zenodo|\n\n**sparsereg** is a collection of modern sparse (regularized) regression\nalgorithms.\n\nInstallation\n------------\n\n``pip install sparsereg``\n\nCitation\n--------\n\nIf you use sparsereg please consider a citation:\n\n::\n\n    @misc{markus_quade_sparsereg,\n      author       = {Markus Quade},\n      title        = {sparsereg - collection of modern sparse regression algorithms},\n      month        = feb,\n      year         = 2018,\n      doi          = {10.5281/zenodo.1173754},\n      url          = {https://github.com/ohjeah/sparsereg}\n    }\n\nImplemented algorithms\n----------------------\n\n-  Mcconaghy, T. (2011). FFX: Fast, Scalable, Deterministic Symbolic\n   Regression Technology. Genetic Programming Theory and Practice IX,\n   235-260. `DOI:\n   10.1007/978-1-4614-1770-5_13 <http://dx.doi.org/10.1007/978-1-4614-1770-5_13>`__\n-  Brunton, Steven L., Joshua L. Proctor, and J. Nathan Kutz.\n   \u201cDiscovering governing equations from data by sparse identification\n   of nonlinear dynamical systems.\u201d Proceedings of the National Academy\n   of Sciences 113.15 (2016): 3932-3937. `DOI:\n   10.1073/pnas.1517384113 <http://dx.doi.org/10.1073/pnas.1517384113>`__\n-  Bouchard, Kristofer E. \u201cBootstrapped Adaptive Threshold Selection for\n   Statistical Model Selection and Estimation.\u201d arXiv preprint\n   arXiv:1505.03511 (2015).\n-  Ignacio Arnaldo, Una-May O\u2019Reilly, and Kalyan Veeramachaneni.\n   \u201cBuilding Predictive Models via Feature Synthesis.\u201d In Proceedings of\n   the 2015 Annual Conference on Genetic and Evolutionary Computation\n   (GECCO \u201915), Sara Silva (Ed.). ACM, New York, NY, USA, 983-990. `DOI:\n   10.1145/2739480.2754693 <http://dx.doi.org/10.1145/2739480.2754693>`__\n\n.. |travis| image:: https://travis-ci.org/Ohjeah/sparsereg.svg?branch=master\n   :target: https://travis-ci.org/Ohjeah/sparsereg\n.. |pypi| image:: https://badge.fury.io/py/sparsereg.svg\n   :target: https://badge.fury.io/py/sparsereg\n.. |codecov| image:: https://codecov.io/gh/Ohjeah/sparsereg/branch/master/graph/badge.svg\n   :target: https://codecov.io/gh/Ohjeah/sparsereg\n.. |zenodo| image:: https://zenodo.org/badge/80389199.svg\n   :target: https://zenodo.org/badge/latestdoi/80389199\n\n\n",
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