Package gov.nih.mipav.view.renderer.WildMagic.ProstateFramework.libsvm

Class svm

java.lang.Object

gov.nih.mipav.view.renderer.WildMagic.ProstateFramework.libsvm.svm

public class svm
extends Object

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
(package private) static class	svm.decision_function

Field Summary

Fields

Modifier and Type	Field	Description
(package private) static final String[]	kernel_type_table
static final int	LIBSVM_VERSION
static final Random	rand
private static svm_print_interface	svm_print_stdout
private static svm_print_interface	svm_print_string
(package private) static final String[]	svm_type_table

Constructor Summary

Constructors

Constructor	Description
svm()

Method Summary

Modifier and Type	Method	Description
private static double	atof(String s)
private static int	atoi(String s)
(package private) static void	info(String s)
private static void	multiclass_probability(int k, double[][] r, double[] p)
private static double	sigmoid_predict(double decision_value, double A, double B)
private static void	sigmoid_train(int l, double[] dec_values, double[] labels, double[] probAB)
private static void	solve_c_svc(svm_problem prob, svm_parameter param, double[] alpha, Solver.SolutionInfo si, double Cp, double Cn)
private static void	solve_epsilon_svr(svm_problem prob, svm_parameter param, double[] alpha, Solver.SolutionInfo si)
private static void	solve_nu_svc(svm_problem prob, svm_parameter param, double[] alpha, Solver.SolutionInfo si)
private static void	solve_nu_svr(svm_problem prob, svm_parameter param, double[] alpha, Solver.SolutionInfo si)
private static void	solve_one_class(svm_problem prob, svm_parameter param, double[] alpha, Solver.SolutionInfo si)
private static void	svm_binary_svc_probability(svm_problem prob, svm_parameter param, double Cp, double Cn, double[] probAB)
static String	svm_check_parameter(svm_problem prob, svm_parameter param)
static int	svm_check_probability_model(svm_model model)
static void	svm_cross_validation(svm_problem prob, svm_parameter param, int nr_fold, double[] target)
static void	svm_get_labels(svm_model model, int[] label)
static int	svm_get_nr_class(svm_model model)
static int	svm_get_svm_type(svm_model model)
static double	svm_get_svr_probability(svm_model model)
private static void	svm_group_classes(svm_problem prob, int[] nr_class_ret, int[][] label_ret, int[][] start_ret, int[][] count_ret, int[] perm)
static svm_model	svm_load_model(BufferedReader fp)
static svm_model	svm_load_model(String model_file_name)
static double	svm_predict(svm_model model, svm_node[] x)
static double	svm_predict_probability(svm_model model, svm_node[] x, double[] prob_estimates)
static double	svm_predict_values(svm_model model, svm_node[] x, double[] dec_values)
static void	svm_save_model(String model_file_name, svm_model model)
static void	svm_set_print_string_function(svm_print_interface print_func)
private static double	svm_svr_probability(svm_problem prob, svm_parameter param)
static svm_model	svm_train(svm_problem prob, svm_parameter param)
(package private) static svm.decision_function	svm_train_one(svm_problem prob, svm_parameter param, double Cp, double Cn)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Details

LIBSVM_VERSION

public static final int LIBSVM_VERSION

See Also:

• Constant Field Values

rand

public static final Random rand

svm_print_stdout

private static svm_print_interface svm_print_stdout

svm_print_string

private static svm_print_interface svm_print_string

svm_type_table

static final String[] svm_type_table

kernel_type_table

static final String[] kernel_type_table

Constructor Details

svm

public svm()

Method Details

info

static void info(String s)

solve_c_svc

private static void solve_c_svc(svm_problem prob,
 svm_parameter param,
 double[] alpha,
 Solver.SolutionInfo si,
 double Cp,
 double Cn)

solve_nu_svc

private static void solve_nu_svc(svm_problem prob,
 svm_parameter param,
 double[] alpha,
 Solver.SolutionInfo si)

solve_one_class

private static void solve_one_class(svm_problem prob,
 svm_parameter param,
 double[] alpha,
 Solver.SolutionInfo si)

solve_epsilon_svr

private static void solve_epsilon_svr(svm_problem prob,
 svm_parameter param,
 double[] alpha,
 Solver.SolutionInfo si)

solve_nu_svr

private static void solve_nu_svr(svm_problem prob,
 svm_parameter param,
 double[] alpha,
 Solver.SolutionInfo si)

svm_train_one

static svm.decision_function svm_train_one(svm_problem prob,
 svm_parameter param,
 double Cp,
 double Cn)

sigmoid_train

private static void sigmoid_train(int l,
 double[] dec_values,
 double[] labels,
 double[] probAB)

sigmoid_predict

private static double sigmoid_predict(double decision_value,
 double A,
 double B)

multiclass_probability

private static void multiclass_probability(int k,
 double[][] r,
 double[] p)

svm_binary_svc_probability

private static void svm_binary_svc_probability(svm_problem prob,
 svm_parameter param,
 double Cp,
 double Cn,
 double[] probAB)

svm_svr_probability

private static double svm_svr_probability(svm_problem prob,
 svm_parameter param)

svm_group_classes

private static void svm_group_classes(svm_problem prob,
 int[] nr_class_ret,
 int[][] label_ret,
 int[][] start_ret,
 int[][] count_ret,
 int[] perm)

svm_train

public static svm_model svm_train(svm_problem prob,
 svm_parameter param)

svm_cross_validation

public static void svm_cross_validation(svm_problem prob,
 svm_parameter param,
 int nr_fold,
 double[] target)

svm_get_svm_type

public static int svm_get_svm_type(svm_model model)

svm_get_nr_class

public static int svm_get_nr_class(svm_model model)

svm_get_labels

public static void svm_get_labels(svm_model model,
 int[] label)

svm_get_svr_probability

public static double svm_get_svr_probability(svm_model model)

svm_predict_values

public static double svm_predict_values(svm_model model,
 svm_node[] x,
 double[] dec_values)

svm_predict

public static double svm_predict(svm_model model,
 svm_node[] x)

svm_predict_probability

public static double svm_predict_probability(svm_model model,
 svm_node[] x,
 double[] prob_estimates)

svm_save_model

public static void svm_save_model(String model_file_name,
 svm_model model)
                           throws IOException

Throws:

IOException

atof

private static double atof(String s)

atoi

private static int atoi(String s)

svm_load_model

public static svm_model svm_load_model(String model_file_name)
                                throws IOException

Throws:

IOException

svm_load_model

public static svm_model svm_load_model(BufferedReader fp)
                                throws IOException

Throws:

IOException

svm_check_parameter

public static String svm_check_parameter(svm_problem prob,
 svm_parameter param)

svm_check_probability_model

public static int svm_check_probability_model(svm_model model)

svm_set_print_string_function

public static void svm_set_print_string_function(svm_print_interface print_func)