Cyanure: An Open-Source Toolbox for Empirical Risk Minimization for Python, C++, and soon more
Machine Learning
2019-12-23 v2 Machine Learning
Abstract
Cyanure is an open-source C++ software package with a Python interface. The goal of Cyanure is to provide state-of-the-art solvers for learning linear models, based on stochastic variance-reduced stochastic optimization with acceleration mechanisms. Cyanure can handle a large variety of loss functions (logistic, square, squared hinge, multinomial logistic) and regularization functions (l_2, l_1, elastic-net, fused Lasso, multi-task group Lasso). It provides a simple Python API, which is very close to that of scikit-learn, which should be extended to other languages such as R or Matlab in a near future.
Keywords
Cite
@article{arxiv.1912.08165,
title = {Cyanure: An Open-Source Toolbox for Empirical Risk Minimization for Python, C++, and soon more},
author = {Julien Mairal},
journal= {arXiv preprint arXiv:1912.08165},
year = {2019}
}
Comments
http://julien.mairal.org/cyanure/welcome.html