Méthode | Description | |
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svm_check_parameter ( |
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svm_check_probability_model ( |
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svm_cross_validation ( |
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svm_get_labels ( |
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svm_get_nr_class ( |
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svm_get_svm_type ( |
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svm_get_svr_probability ( |
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svm_load_model ( |
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svm_predict ( |
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svm_predict_probability ( |
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svm_predict_values ( |
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svm_save_model ( |
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svm_train ( |
Méthode | Description | |
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atof ( String s ) : double | ||
atoi ( String s ) : int | ||
multiclass_probability ( int k, double r, double p ) : void | ||
sigmoid_predict ( double decision_value, double A, double B ) : double | ||
sigmoid_train ( int l, double dec_values, double labels, double probAB ) : void | ||
solve_c_svc ( |
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solve_epsilon_svr ( |
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solve_nu_svc ( |
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solve_nu_svr ( |
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solve_one_class ( |
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svm_binary_svc_probability ( |
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svm_svr_probability ( |
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svm_train_one ( |
public static svm_check_parameter ( |
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prob | ||
param | ||
Résultat | String |
public static svm_check_probability_model ( |
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model | ||
Résultat | int |
public static svm_cross_validation ( |
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prob | ||
param | ||
nr_fold | int | |
target | double | |
Résultat | void |
public static svm_get_labels ( |
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model | ||
label | int | |
Résultat | void |
public static svm_get_nr_class ( |
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model | ||
Résultat | int |
public static svm_get_svm_type ( |
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model | ||
Résultat | int |
public static svm_get_svr_probability ( |
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model | ||
Résultat | double |
public static svm_load_model ( |
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fp | ||
Résultat |
public static svm_predict ( |
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model | ||
x | ||
Résultat | double |
public static svm_predict_probability ( |
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model | ||
x | ||
prob_estimates | double | |
Résultat | double |
public static svm_predict_values ( |
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model | ||
x | ||
dec_values | double | |
Résultat | void |
public static svm_save_model ( |
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fp | ||
model | ||
Résultat | void |
public static svm_train ( |
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prob | ||
param | ||
Résultat |