libsvm Toolbox

• 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