libsvm
liblinear
libsvm_linpredict
—
Does prediction for a calculated svm model
libsvm_lintrain
—
trains a linear model
libsvm
libsvm_svmpredict
—
Does prediction for a calculated svm model
libsvm_svmtrain
—
trains a svm model
utilities
libsvm_confmat
—
Confusion matrix for classification algorithms.
libsvm_getpath
—
Returns the path to the current module.
libsvm_grid
—
parameter selection tool for C-SVM classification using the RBF (radial basis function) kernel
libsvm_gridlinear
—
parameter selection tool for linear classification
libsvm_loadmodel
—
loads a model from a text file
libsvm_normalize
—
scale the input data for correct learning
libsvm_partest
—
This function calculate the performance, based on Bayes theorem, of a clinical test.
libsvm_rocplot
—
plotroc draws the recevier operating characteristic(ROC) curve for an svm-model
libsvm_savemodel
—
saves a model into a text file
libsvm_scale
—
scale the input data for correct learning
libsvm_toy
—
shows the two-class classification boundary of the 2-D data
libsvmread
—
reads files in LIBSVM format
libsvmwrite
—
writes sparse matrix to a file in LIBSVM format
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