Classes
class	decision_function

Static Public Member Functions
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_nr_sv (svm_model model)

static void	svm_get_sv_indices (svm_model model, int[] indices)

static int	svm_get_svm_type (svm_model model)

static double	svm_get_svr_probability (svm_model model)

static svm_model	svm_load_model (String model_file_name) throws IOException

static svm_model	svm_load_model (BufferedReader fp) throws IOException

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) throws IOException

static void	svm_set_print_string_function (svm_print_interface print_func)

static svm_model	svm_train (svm_problem prob, svm_parameter param)

Static Public Attributes
static final int	LIBSVM_VERSION =314

static final Random	rand = new Random()

Static Private Member Functions
static double	atof (String s)

static int	atoi (String s)

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

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

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

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

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

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

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

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

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

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

static double	svm_svr_probability (svm_problem prob, svm_parameter param)

Static Private Attributes
static svm_print_interface	svm_print_stdout

static svm_print_interface	svm_print_string = svm_print_stdout

Detailed Description

Definition at line 1291 of file svm.java.

Member Function Documentation

◆ atof()

static double libsvm.svm.atof ( String s )

inlinestaticprivate

Definition at line 2519 of file svm.java.

◆ atoi()

static int libsvm.svm.atoi ( String s )

inlinestaticprivate

Definition at line 2524 of file svm.java.

◆ multiclass_probability()

static void libsvm.svm.multiclass_probability	(	int	k,
		double	r[][],
		double []	p
	)

inlinestaticprivate

Definition at line 1681 of file svm.java.

◆ sigmoid_predict()

static double libsvm.svm.sigmoid_predict	(	double	decision_value,
		double	A,
		double	B
	)

inlinestaticprivate

Definition at line 1671 of file svm.java.

◆ sigmoid_train()

static void libsvm.svm.sigmoid_train	(	int	l,
		double []	dec_values,
		double []	labels,
		double []	probAB
	)

inlinestaticprivate

Definition at line 1558 of file svm.java.

◆ solve_c_svc()

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

inlinestaticprivate

Definition at line 1314 of file svm.java.

◆ solve_epsilon_svr()

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

inlinestaticprivate

Definition at line 1425 of file svm.java.

◆ solve_nu_svc()

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

inlinestaticprivate

Definition at line 1346 of file svm.java.

◆ solve_nu_svr()

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

inlinestaticprivate

Definition at line 1458 of file svm.java.

◆ solve_one_class()

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

inlinestaticprivate

Definition at line 1397 of file svm.java.

◆ svm_binary_svc_probability()

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

inlinestaticprivate

Definition at line 1741 of file svm.java.

◆ svm_check_parameter()

static String libsvm.svm.svm_check_parameter	(	svm_problem	prob,
		svm_parameter	param
	)

inlinestatic

Definition at line 2675 of file svm.java.

◆ svm_check_probability_model()

static int libsvm.svm.svm_check_probability_model ( svm_model model )

inlinestatic

Definition at line 2795 of file svm.java.

◆ svm_cross_validation()

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

inlinestatic

Definition at line 2153 of file svm.java.

◆ svm_get_labels()

static void libsvm.svm.svm_get_labels	(	svm_model	model,
		int []	label
	)

inlinestatic

Definition at line 2273 of file svm.java.

◆ svm_get_nr_class()

static int libsvm.svm.svm_get_nr_class ( svm_model model )

inlinestatic

Definition at line 2268 of file svm.java.

◆ svm_get_nr_sv()

static int libsvm.svm.svm_get_nr_sv ( svm_model model )

inlinestatic

Definition at line 2287 of file svm.java.

◆ svm_get_sv_indices()

static void libsvm.svm.svm_get_sv_indices	(	svm_model	model,
		int []	indices
	)

inlinestatic

Definition at line 2280 of file svm.java.

◆ svm_get_svm_type()

static int libsvm.svm.svm_get_svm_type ( svm_model model )

inlinestatic

Definition at line 2263 of file svm.java.

◆ svm_get_svr_probability()

static double libsvm.svm.svm_get_svr_probability ( svm_model model )

inlinestatic

Definition at line 2292 of file svm.java.

◆ svm_group_classes()

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

inlinestaticprivate

Definition at line 1853 of file svm.java.

◆ svm_load_model() [1/2]

static svm_model libsvm.svm.svm_load_model ( String model_file_name ) throws IOException

inlinestatic

Definition at line 2529 of file svm.java.

◆ svm_load_model() [2/2]

static svm_model libsvm.svm.svm_load_model ( BufferedReader fp ) throws IOException

inlinestatic

Definition at line 2534 of file svm.java.

◆ svm_predict()

static double libsvm.svm.svm_predict	(	svm_model	model,
		svm_node []	x
	)

inlinestatic

Definition at line 2377 of file svm.java.

◆ svm_predict_probability()

static double libsvm.svm.svm_predict_probability	(	svm_model	model,
		svm_node []	x,
		double []	prob_estimates
	)

inlinestatic

Definition at line 2391 of file svm.java.

◆ svm_predict_values()

static double libsvm.svm.svm_predict_values	(	svm_model	model,
		svm_node []	x,
		double []	dec_values
	)

inlinestatic

Definition at line 2304 of file svm.java.

◆ svm_save_model()

static void libsvm.svm.svm_save_model	(	String	model_file_name,
		svm_model	model
	)		throws IOException

inlinestatic

Definition at line 2434 of file svm.java.

◆ svm_set_print_string_function()

static void libsvm.svm.svm_set_print_string_function ( svm_print_interface print_func )

inlinestatic

Definition at line 2806 of file svm.java.

◆ svm_svr_probability()

static double libsvm.svm.svm_svr_probability	(	svm_problem	prob,
		svm_parameter	param
	)

inlinestaticprivate

Definition at line 1822 of file svm.java.

◆ svm_train()

static svm_model libsvm.svm.svm_train	(	svm_problem	prob,
		svm_parameter	param
	)

inlinestatic

Definition at line 1916 of file svm.java.

Member Data Documentation

◆ LIBSVM_VERSION

final int libsvm.svm.LIBSVM_VERSION =314

static

Definition at line 1295 of file svm.java.

◆ rand

final Random libsvm.svm.rand = new Random()

static

Definition at line 1296 of file svm.java.

◆ svm_print_stdout

svm_print_interface libsvm.svm.svm_print_stdout

staticprivate

Initial value:

= new svm_print_interface()
        {
                public void print(String s)
                {
                        System.out.print(s);
                        System.out.flush();
                }
        }

Definition at line 1298 of file svm.java.

◆ svm_print_string

svm_print_interface libsvm.svm.svm_print_string = svm_print_stdout

staticprivate

Definition at line 1307 of file svm.java.

The documentation for this class was generated from the following file:

svm.java

Classes

Static Public Member Functions

Static Public Attributes

Static Private Member Functions

Static Private Attributes

Detailed Description

Member Function Documentation

◆ atof()

◆ atoi()

◆ multiclass_probability()

◆ sigmoid_predict()

◆ sigmoid_train()

◆ solve_c_svc()

◆ solve_epsilon_svr()

◆ solve_nu_svc()

◆ solve_nu_svr()

◆ solve_one_class()

◆ svm_binary_svc_probability()

◆ svm_check_parameter()

◆ svm_check_probability_model()

◆ svm_cross_validation()

◆ svm_get_labels()

◆ svm_get_nr_class()

◆ svm_get_nr_sv()

◆ svm_get_sv_indices()

◆ svm_get_svm_type()

◆ svm_get_svr_probability()

◆ svm_group_classes()

◆ svm_load_model() [1/2]

◆ svm_load_model() [2/2]

◆ svm_predict()

◆ svm_predict_probability()

◆ svm_predict_values()

◆ svm_save_model()

◆ svm_set_print_string_function()

◆ svm_svr_probability()

◆ svm_train()

Member Data Documentation

◆ LIBSVM_VERSION

◆ rand

◆ svm_print_stdout

◆ svm_print_string