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.