Description:

LIBLINEAR is a linear classifier for data with millions of instances and features. It supports L2-regularized logistic regression (LR), L2-loss linear SVM, L1-loss linear SVM, and multi-class SVM from Crammer and Singer. The approach for L1-SVM, L2-SVM, and multi-class SVM from Crammer and Singer is a dual coordinate descent method. We implement a trust region Newton method for LR and L2-SVM.

Changes to previous version:

Initial Announcement on mloss.org.

BibTeX Entry: Download

Corresponding Paper BibTeX Entry: Download

URL: Project Homepage

JMLR MLOSS PaperURL: JMLR-MLOSS Paper Homepage

Supported Operating Systems: Cygwin, Linux, Windows, Macos

Data Formats: None

Tags: Svm, Classification, Support Vector Machines, Linear Svm, Large Scale Learning

Archive: download here

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