sparsereg
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
1 maintainer
Metadata
1 maintainer
Release files for sparsereg 0.10.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| sparsereg-0.10.0.tar.gz | 36.1 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| 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
| Download URL | sparsereg-0.10.0.tar.gz |
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| Size | 36.1 kB |
| Tags | Source |
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Release files / sparsereg-0.10.0-py3-none-any.whl
| Download URL | sparsereg-0.10.0-py3-none-any.whl |
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| Size | 25.7 kB |
| Tags | Python 3 |
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