Uses of Class
pt.tumba.ngram.svm.Solver.SolutionInfo

Packages that use Solver.SolutionInfo

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 Solver.SolutionInfo in pt.tumba.ngram.svm

Fields in pt.tumba.ngram.svm declared as Solver.SolutionInfo

private Solver.SolutionInfo

SolverNU.si

Methods in pt.tumba.ngram.svm with parameters of type Solver.SolutionInfo

(package private) void	Solver.Solve(int l, Kernel Q, double[] b_, byte[] y_, double[] alpha_, double Cp, double Cn, double eps, Solver.SolutionInfo si, boolean shrinking)
(package private) void	SolverNU.Solve(int l, Kernel Q, double[] b, byte[] y, double[] alpha, double Cp, double Cn, double eps, Solver.SolutionInfo si, boolean shrinking)
private static void	SVM.solveCSVC(SVMProblem prob, SVMParameter param, double[] alpha, Solver.SolutionInfo si, double Cp, double Cn) Solve the C-Support Vector classification problem.
private static void	SVM.solveEpsilonSVR(SVMProblem prob, SVMParameter param, double[] alpha, Solver.SolutionInfo si) Solve the Epsilon-Support Vector Regression Problem
private static void	SVM.solveNUSVC(SVMProblem prob, SVMParameter param, double[] alpha, Solver.SolutionInfo si) Solve the Nu-Support Vector Classification problem.
private static void	SVM.solveNUSVR(SVMProblem prob, SVMParameter param, double[] alpha, Solver.SolutionInfo si) Solve the Nu-Support Vector Regression Problem
private static void	SVM.solveOneClass(SVMProblem prob, SVMParameter param, double[] alpha, Solver.SolutionInfo si) Solve the SVM Distribution Estimation Problem.