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static String | svm_check_parameter (svm_problem prob, svm_parameter param) |
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static int | svm_check_probability_model (svm_model model) |
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static void | svm_cross_validation (svm_problem prob, svm_parameter param, int nr_fold, double[] target) |
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static void | svm_get_labels (svm_model model, int[] label) |
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static int | svm_get_nr_class (svm_model model) |
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static int | svm_get_nr_sv (svm_model model) |
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static void | svm_get_sv_indices (svm_model model, int[] indices) |
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static int | svm_get_svm_type (svm_model model) |
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static double | svm_get_svr_probability (svm_model model) |
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static svm_model | svm_load_model (String model_file_name) throws IOException |
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static svm_model | svm_load_model (BufferedReader fp) throws IOException |
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static double | svm_predict (svm_model model, svm_node[] x) |
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static double | svm_predict_probability (svm_model model, svm_node[] x, double[] prob_estimates) |
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static double | svm_predict_values (svm_model model, svm_node[] x, double[] dec_values) |
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static void | svm_save_model (String model_file_name, svm_model model) throws IOException |
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static void | svm_set_print_string_function (svm_print_interface print_func) |
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static svm_model | svm_train (svm_problem prob, svm_parameter param) |
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static double | atof (String s) |
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static int | atoi (String s) |
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static void | multiclass_probability (int k, double[][] r, double[] p) |
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static double | sigmoid_predict (double decision_value, double A, double B) |
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static void | sigmoid_train (int l, double[] dec_values, double[] labels, double[] probAB) |
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static void | solve_c_svc (svm_problem prob, svm_parameter param, double[] alpha, Solver.SolutionInfo si, double Cp, double Cn) |
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static void | solve_epsilon_svr (svm_problem prob, svm_parameter param, double[] alpha, Solver.SolutionInfo si) |
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static void | solve_nu_svc (svm_problem prob, svm_parameter param, double[] alpha, Solver.SolutionInfo si) |
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static void | solve_nu_svr (svm_problem prob, svm_parameter param, double[] alpha, Solver.SolutionInfo si) |
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static void | solve_one_class (svm_problem prob, svm_parameter param, double[] alpha, Solver.SolutionInfo si) |
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static void | svm_binary_svc_probability (svm_problem prob, svm_parameter param, double Cp, double Cn, double[] probAB) |
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static void | svm_group_classes (svm_problem prob, int[] nr_class_ret, int[][] label_ret, int[][] start_ret, int[][] count_ret, int[] perm) |
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static double | svm_svr_probability (svm_problem prob, svm_parameter param) |
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Definition at line 1291 of file svm.java.
static double libsvm.svm.atof |
( |
String |
s | ) |
|
|
inlinestaticprivate |
static int libsvm.svm.atoi |
( |
String |
s | ) |
|
|
inlinestaticprivate |
static void libsvm.svm.multiclass_probability |
( |
int |
k, |
|
|
double |
r[][], |
|
|
double[] |
p |
|
) |
| |
|
inlinestaticprivate |
static double libsvm.svm.sigmoid_predict |
( |
double |
decision_value, |
|
|
double |
A, |
|
|
double |
B |
|
) |
| |
|
inlinestaticprivate |
static void libsvm.svm.sigmoid_train |
( |
int |
l, |
|
|
double[] |
dec_values, |
|
|
double[] |
labels, |
|
|
double[] |
probAB |
|
) |
| |
|
inlinestaticprivate |
static void libsvm.svm.svm_binary_svc_probability |
( |
svm_problem |
prob, |
|
|
svm_parameter |
param, |
|
|
double |
Cp, |
|
|
double |
Cn, |
|
|
double[] |
probAB |
|
) |
| |
|
inlinestaticprivate |
static int libsvm.svm.svm_check_probability_model |
( |
svm_model |
model | ) |
|
|
inlinestatic |
static void libsvm.svm.svm_get_labels |
( |
svm_model |
model, |
|
|
int[] |
label |
|
) |
| |
|
inlinestatic |
static int libsvm.svm.svm_get_nr_class |
( |
svm_model |
model | ) |
|
|
inlinestatic |
static int libsvm.svm.svm_get_nr_sv |
( |
svm_model |
model | ) |
|
|
inlinestatic |
static void libsvm.svm.svm_get_sv_indices |
( |
svm_model |
model, |
|
|
int[] |
indices |
|
) |
| |
|
inlinestatic |
static int libsvm.svm.svm_get_svm_type |
( |
svm_model |
model | ) |
|
|
inlinestatic |
static double libsvm.svm.svm_get_svr_probability |
( |
svm_model |
model | ) |
|
|
inlinestatic |
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 |
static svm_model libsvm.svm.svm_load_model |
( |
String |
model_file_name | ) |
throws IOException |
|
inlinestatic |
static svm_model libsvm.svm.svm_load_model |
( |
BufferedReader |
fp | ) |
throws IOException |
|
inlinestatic |
static double libsvm.svm.svm_predict_probability |
( |
svm_model |
model, |
|
|
svm_node[] |
x, |
|
|
double[] |
prob_estimates |
|
) |
| |
|
inlinestatic |
static double libsvm.svm.svm_predict_values |
( |
svm_model |
model, |
|
|
svm_node[] |
x, |
|
|
double[] |
dec_values |
|
) |
| |
|
inlinestatic |
static void libsvm.svm.svm_save_model |
( |
String |
model_file_name, |
|
|
svm_model |
model |
|
) |
| throws IOException |
|
inlinestatic |
final int libsvm.svm.LIBSVM_VERSION =314 |
|
static |
final Random libsvm.svm.rand = new Random() |
|
static |
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.
The documentation for this class was generated from the following file: