Method SVM_predict

svm.go:2342–2354

(model *SVM_Model, x []SVM_Node)

}

func (this *SVM) SVM_predict(model *SVM_Model, x []SVM_Node) float64 {
	nr_class := model.nr_class
	var dec_values []float64
	if model.param.svm_type == ONE_CLASS ||
		model.param.svm_type == EPSILON_SVR ||
		model.param.svm_type == NU_SVR {
		dec_values = make([]float64, 1)
	} else {
		dec_values = make([]float64, nr_class*(nr_class-1)/2)
	}
	pred_result := this.SVM_predict_values(model, x, dec_values)
	return pred_result
}

func (this *SVM) SVM_predict_probability(model *SVM_Model, x []SVM_Node, prob_estimates []float64) float64 {
	var rst float64