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sparsereg

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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

  • 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

  • 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

Release files for sparsereg 0.10.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for sparsereg 0.10.0
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sparsereg-0.10.0.tar.gz 36.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for sparsereg 0.10.0
File Interpreter ABI Platform
sparsereg-0.10.0-py3-none-any.whl Python 3 none any Details

Total release size: 61.8 kB

Release files / sparsereg-0.10.0.tar.gz

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Release files / sparsereg-0.10.0-py3-none-any.whl

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0.10.0 This release

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0.3.0

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0.0.0

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