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svm.cpp
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INF
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multiclass_probability
Qfloat
schar
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_destroy_model
svm_destroy_param
svm_get_labels
svm_get_nr_class
svm_get_svm_type
svm_get_svr_probability
svm_load_model
svm_predict
svm_predict_probability
svm_predict_values
svm_save_model
svm_svr_probability
svm_train
svm_train_one
svm_type_table
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double sigmoid_predict ( double  decision_value,
double  A,
double  B 
)

Definition at line 1654 of file svm.cpp.

Referenced by svm_predict_probability().

01655 {
01656         double fApB = decision_value*A+B;
01657         if (fApB >= 0)
01658                 return exp(-fApB)/(1.0+exp(-fApB));
01659         else
01660                 return 1.0/(1+exp(fApB)) ;
01661 }

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