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Extension of LIBLINEAR for data which cannot fit in memory

Extension of LIBLINEAR for data which cannot fit in memory. Currently it supports L2-regularized L1- and L2- loss linear SVM for binary classification problem and Cramer and Singer formulation for multi-class classification problem.

LIBLINEAR is a linear classifier for data with millions of instances and features. It supports
* L2-regularized classifiers
* L2-loss linear SVM, L1-loss linear SVM, and logistic regression (LR)
* L1-regularized classifiers (after version 1.4)
* L2-loss linear SVM and logistic regression (LR) 

Source Files

Filename Size Changed Actions
liblinear-cdblock-1.6.tar.bz2 135 KB almost 8 years ago Download File
liblinear-cdblock.spec 1.37 KB almost 8 years ago Download File

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