Section: New Software and Platforms

Cyanure

Cyanure: An Open-Source Toolbox for Empirical Risk Minimization

Keyword: Machine learning

Functional Description: Cyanure is an open-source C++ software package with a Python interface. The goal of Arsenic is to provide state-of-the-art solvers for learning linear models, based on stochastic variance-reduced stochastic optimization with acceleration mechanisms and Quasi-Newton principles. Arsenic can handle a large variety of loss functions (logistic, square, squared hinge, multinomial logistic) and regularization functions (l2, l1, 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.

Release Functional Description: version initiale

• Participant: Julien Mairal

• Contact: Julien Mairal

• URL: http://thoth.inrialpes.fr/people/mairal/arsenic/welcome.html