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Cyanure: An Open-Source Toolbox for Empirical Risk Minimization for Python, C++, and soon more

2019-12-17 · Julien Mairal

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.

📄 PDF Abstract BibTeX arXiv:1912.08165

Code (1)

jmairal/cyanure

Tasks

Stochastic Optimization

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