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

Packages that use SVMNode

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 SVMNode in pt.tumba.ngram.svm

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

(package private) SVMNode[][]	SVMModel.supportVectors The Support Vectors.
SVMNode[][]	SVMProblem.x The training vectors.
private SVMNode[][]	Kernel.x

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

(package private) static double	Kernel.dot(SVMNode[] x, SVMNode[] y) Return the dot product of two vectors.
(package private) static double	Kernel.dot(SVMNode[] x, SVMNode[] y) Return the dot product of two vectors.
(package private) static double	Kernel.kernelFunction(SVMNode[] x, SVMNode[] y, SVMParameter param) Returns the value of a single kernel evaluation.
(package private) static double	Kernel.kernelFunction(SVMNode[] x, SVMNode[] y, SVMParameter param) Returns the value of a single kernel evaluation.
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)

Constructors in pt.tumba.ngram.svm with parameters of type SVMNode

Kernel(int l, SVMNode[][] x_, SVMParameter param)
Kernel constructor, prepares to calculate the l*l kernel matrix.