Uses of Class
pt.tumba.ngram.svm.SVMModel

Packages that use SVMModel

pt.tumba.ngram.svm

Implementation of Support Vector Machines classification and regression that can be used to categorize text files using N-Grams as features.

Uses of SVMModel in pt.tumba.ngram.svm

Fields in pt.tumba.ngram.svm declared as SVMModel

protected SVMModel

SVMCategorizer.model Description of the Field

Methods in pt.tumba.ngram.svm that return SVMModel

static SVMModel	SVM.svmLoadModel(java.lang.String model_file_name) Loads a trained SVM model from disk.
static SVMModel	SVM.svmTrain(SVMProblem prob, SVMParameter param) Train the SVM.

Methods in pt.tumba.ngram.svm with parameters of type SVMModel

private static void	SVMCategorizer.predict(java.io.BufferedReader input, java.io.DataOutputStream output, SVMModel model, int predict_probability)
static int	SVM.svmCheckProbabilityModel(SVMModel model)
static void	SVM.svmGetLabels(SVMModel model, int[] label)
static double	SVM.svmGetSVRProbability(SVMModel model)
static double	SVM.svmPredict(SVMModel model, SVMNode[] x)
static double	SVM.svmPredictProbability(SVMModel model, SVMNode[] x, double[] prob_estimates)
static void	SVM.svmPredictValues(SVMModel model, SVMNode[] x, double[] dec_values)
static void	SVM.svmSaveModel(java.lang.String model_file_name, SVMModel model) Outputs a trained model to disk, for use in future classification tasks.