Uses of Class
de.bwaldvogel.liblinear.Problem
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Uses of Problem in de.bwaldvogel.liblinear
Fields in de.bwaldvogel.liblinear declared as Problem Modifier and Type Field Description (package private) Problem
L2R_ErmFunction. prob
private Problem
SolverMCSVM_CS. prob
private Problem
Train. prob
Methods in de.bwaldvogel.liblinear that return Problem Modifier and Type Method Description private static Problem
Train. constructProblem(java.util.List<java.lang.Double> vy, java.util.List<Feature[]> vx, int max_index, double bias)
Problem
Train. getProblem()
static Problem
Problem. readFromFile(java.io.File file, double bias)
Deprecated.usereadFromFile(Path, double)
insteadstatic Problem
Problem. readFromFile(java.io.File file, java.nio.charset.Charset charset, double bias)
Deprecated.usereadFromFile(Path, Charset, double)
insteadstatic Problem
Problem. readFromFile(java.nio.file.Path path, double bias)
static Problem
Problem. readFromFile(java.nio.file.Path path, java.nio.charset.Charset charset, double bias)
static Problem
Problem. readFromStream(java.io.InputStream inputStream, double bias)
static Problem
Problem. readFromStream(java.io.InputStream inputStream, java.nio.charset.Charset charset, double bias)
static Problem
Train. readProblem(java.io.File file, double bias)
Deprecated.useTrain.readProblem(Path, double)
insteadstatic Problem
Train. readProblem(java.io.File file, java.nio.charset.Charset charset, double bias)
Deprecated.useTrain.readProblem(Path, Charset, double)
insteadstatic Problem
Train. readProblem(java.io.InputStream inputStream, double bias)
static Problem
Train. readProblem(java.io.InputStream inputStream, java.nio.charset.Charset charset, double bias)
static Problem
Train. readProblem(java.nio.file.Path path, double bias)
reads a problem from LibSVM formatstatic Problem
Train. readProblem(java.nio.file.Path path, java.nio.charset.Charset charset, double bias)
(package private) static Problem
Linear. transpose(Problem prob)
Methods in de.bwaldvogel.liblinear with parameters of type Problem Modifier and Type Method Description private static double
Linear. calc_max_p(Problem prob)
private static double
Linear. calc_start_C(Problem prob, Parameter param)
static void
Linear. crossValidation(Problem prob, Parameter param, int nr_fold, double[] target)
static ParameterCSearchResult
Linear. find_parameter_C(Problem prob, Parameter param_tmp, double start_C, double max_C, int[] fold_start, int[] perm, Problem[] subprob, int nr_fold)
static ParameterSearchResult
Linear. findParameters(Problem prob, Parameter param, int nr_fold, double start_C, double start_p)
private static Linear.GroupClassesReturn
Linear. groupClasses(Problem prob, int[] perm)
private static int
Linear. solve_l1r_l2_svc(Problem prob_col, Parameter param, double[] w, double Cp, double Cn, double eps, int max_iter)
A coordinate descent algorithm for L1-regularized L2-loss support vector classificationprivate static int
Linear. solve_l1r_lr(Problem prob_col, Parameter param, double[] w, double Cp, double Cn, double eps, int max_iter)
A coordinate descent algorithm for L1-regularized logistic regression problemsprivate static int
Linear. solve_l2r_l1l2_svc(Problem prob, Parameter param, double[] w, double Cp, double Cn, int max_iter)
A coordinate descent algorithm for L1-loss and L2-loss SVM dual problemsprivate static int
Linear. solve_l2r_l1l2_svr(Problem prob, Parameter param, double[] w, int max_iter)
A coordinate descent algorithm for L1-loss and L2-loss epsilon-SVR dual problem min_\beta 0.5\beta^T (Q + diag(lambda)) \beta - p \sum_{i=1}^l|\beta_i| + \sum_{i=1}^l yi\beta_i, s.t.private static int
Linear. solve_l2r_lr_dual(Problem prob, Parameter param, double[] w, double Cp, double Cn, int max_iter)
A coordinate descent algorithm for the dual of L2-regularized logistic regression problems(package private) static int
Linear. solve_oneclass_svm(Problem prob, Parameter param, double[] w, MutableDouble rho, int max_iter)
static Model
Linear. train(Problem prob, Parameter param)
private static void
Linear. train_one(Problem prob, Parameter param, double[] w, double Cp, double Cn)
(package private) static Problem
Linear. transpose(Problem prob)
Constructors in de.bwaldvogel.liblinear with parameters of type Problem Constructor Description L2R_ErmFunction(Problem prob, Parameter parameter, double[] C)
L2R_L2_SvcFunction(Problem prob, Parameter param, double[] C)
L2R_L2_SvrFunction(Problem prob, Parameter param, double[] C)
L2R_LrFunction(Problem prob, Parameter param, double[] C)
SolverMCSVM_CS(Problem prob, int nr_class, double[] C, double eps, java.util.Random random)
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