Classias is a collection of machine-learning algorithms for
classification. Currently, it supports the following formalizations:
    L1/L2-regularized logistic regression (aka. Maximum Entropy)
    L1/L2-regularized L1-loss linear-kernel Support Vector Machine (SVM)
    Averaged perceptron
It implements several algorithms for training classifiers:
    Averaged perceptron
    Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) [Nocedal80]
    Orthant-Wise Limited-memory Quasi-Newton (OWL-QN) [Andrew07]
    Primal Estimated sub-GrAdient SOlver (Pegasos) [Shalev-Shwartz07]
    Truncated Gradient [Langford09], also known as FOrward LOoking
    Subgradient (FOLOS) [Duchi09] specialized for L1 regularization

Homepage:
http://www.chokkan.org/software/classias/
