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 = 321
static final Random	rand = new Random()
Static Package Functions
static void	info (String s)
static decision_function	svm_train_one (svm_problem prob, svm_parameter param, double Cp, double Cn)
Static Package Attributes
static final String	kernel_type_table []
static final String	svm_type_table []
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 boolean	read_model_header (BufferedReader fp, svm_model model)
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 1292 of file svm.java.

Member Function Documentation

static double libsvm.svm.atof ( String s ) [inline, static, private]

Definition at line 2538 of file svm.java.

static int libsvm.svm.atoi ( String s ) [inline, static, private]

Definition at line 2543 of file svm.java.

static void libsvm.svm.info ( String s ) [inline, static, package]

Definition at line 1310 of file svm.java.

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

Definition at line 1682 of file svm.java.

static boolean libsvm.svm.read_model_header	(	BufferedReader	fp,
		svm_model	model
	)		`[inline, static, private]`

Definition at line 2548 of file svm.java.

static double libsvm.svm.sigmoid_predict	(	double	decision_value,
		double	A,
		double	B
	)		`[inline, static, private]`

Definition at line 1672 of file svm.java.

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

Definition at line 1559 of file svm.java.

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

Definition at line 1315 of file svm.java.

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

Definition at line 1426 of file svm.java.

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

Definition at line 1347 of file svm.java.

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

Definition at line 1459 of file svm.java.

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

Definition at line 1398 of file svm.java.

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

Definition at line 1742 of file svm.java.

static String libsvm.svm.svm_check_parameter	(	svm_problem	prob,
		svm_parameter	param
	)		`[inline, static]`

Definition at line 2711 of file svm.java.

static int libsvm.svm.svm_check_probability_model ( svm_model model ) [inline, static]

Definition at line 2831 of file svm.java.

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

Definition at line 2172 of file svm.java.

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

Definition at line 2292 of file svm.java.

static int libsvm.svm.svm_get_nr_class ( svm_model model ) [inline, static]

Definition at line 2287 of file svm.java.

static int libsvm.svm.svm_get_nr_sv ( svm_model model ) [inline, static]

Definition at line 2306 of file svm.java.

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

Definition at line 2299 of file svm.java.

static int libsvm.svm.svm_get_svm_type ( svm_model model ) [inline, static]

Definition at line 2282 of file svm.java.

static double libsvm.svm.svm_get_svr_probability ( svm_model model ) [inline, static]

Definition at line 2311 of file svm.java.

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
	)		`[inline, static, private]`

Definition at line 1854 of file svm.java.

static svm_model libsvm.svm.svm_load_model ( String model_file_name ) throws IOException [inline, static]

Definition at line 2661 of file svm.java.

static svm_model libsvm.svm.svm_load_model ( BufferedReader fp ) throws IOException [inline, static]

Definition at line 2666 of file svm.java.

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

Definition at line 2396 of file svm.java.

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

Definition at line 2410 of file svm.java.

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

Definition at line 2323 of file svm.java.

static void libsvm.svm.svm_save_model	(	String	model_file_name,
		svm_model	model
	)		throws IOException `[inline, static]`

Definition at line 2453 of file svm.java.

static void libsvm.svm.svm_set_print_string_function ( svm_print_interface print_func ) [inline, static]

Definition at line 2842 of file svm.java.

static double libsvm.svm.svm_svr_probability	(	svm_problem	prob,
		svm_parameter	param
	)		`[inline, static, private]`

Definition at line 1823 of file svm.java.

static svm_model libsvm.svm.svm_train	(	svm_problem	prob,
		svm_parameter	param
	)		`[inline, static]`

Definition at line 1935 of file svm.java.

static decision_function libsvm.svm.svm_train_one	(	svm_problem	prob,
		svm_parameter	param,
		double	Cp,
		double	Cn
	)		`[inline, static, package]`

Definition at line 1501 of file svm.java.

Member Data Documentation

final String libsvm.svm.kernel_type_table[] [static, package]

Initial value:

        {
                "linear","polynomial","rbf","sigmoid","precomputed"
        }

Definition at line 2448 of file svm.java.

final int libsvm.svm.LIBSVM_VERSION = 321 [static]

Definition at line 1296 of file svm.java.

final Random libsvm.svm.rand = new Random() [static]

Definition at line 1297 of file svm.java.

svm_print_interface libsvm.svm.svm_print_stdout [static, private]

Initial value:

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

Definition at line 1299 of file svm.java.

svm_print_interface libsvm.svm.svm_print_string = svm_print_stdout [static, private]

Definition at line 1308 of file svm.java.

final String libsvm.svm.svm_type_table[] [static, package]

Initial value:

        {
                "c_svc","nu_svc","one_class","epsilon_svr","nu_svr",
        }

Definition at line 2443 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 Package Functions

Static Package Attributes

Static Private Member Functions

Static Private Attributes

Detailed Description

Member Function Documentation

Member Data Documentation