Liblinear (nuget): Sample how to use: https://gist.github.com/hodzanassredin/6682771 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)     L2-regularized support vector regression (after version 1.9)     L2-loss linear SVR and L1-loss linear SVR.  Main features of LIBLINEAR include      Same data format as LIBSVM, our general-purpose SVM solver, and also similar usage     Multi-class classification: 1) one-vs-the rest, 2) Crammer & Singer     Cross validation for model selection     Probability estimates (logistic regression only)     Weights for unbalanced data     MATLAB/Octave, Java, Python, Ruby interfaces
Keywords: ikvm