Method SVM_binary_svc_probability

svm.go:1707–1786

(prob *SVM_Problem, param *SVM_Parameter, Cp, Cn float64, probAB []float64)

}

func (this *SVM) SVM_binary_svc_probability(prob *SVM_Problem, param *SVM_Parameter, Cp, Cn float64, probAB []float64) {
	var i int
	nr_fold := 5
	perm := make([]int, prob.l)
	dec_values := make([]float64, prob.l)

	// random shuffle
	for i = 0; i < prob.l; i++ {
		perm[i] = i
	}
	for i = 0; i < prob.l; i++ {
		j := i + int(rand.Int31n(int32(prob.l-i)))
		//do {int _=perm[i]; perm[i]=perm[j]; perm[j]=_;} while(false);
		perm[i], perm[j] = perm[j], perm[i]
	}
	for i = 0; i < nr_fold; i++ {
		begin := i * prob.l / nr_fold
		end := (i + 1) * prob.l / nr_fold
		var j, k int
		subprob := new(SVM_Problem)

		subprob.l = prob.l - (end - begin)
		subprob.x = make([][]SVM_Node, subprob.l)
		subprob.y = make([]float64, subprob.l)

		k = 0
		for j = 0; j < begin; j++ {
			subprob.x[k] = prob.x[perm[j]]
			subprob.y[k] = prob.y[perm[j]]
			k++
		}
		for j = end; j < prob.l; j++ {
			subprob.x[k] = prob.x[perm[j]]
			subprob.y[k] = prob.y[perm[j]]
			k++
		}
		p_count := 0
		n_count := 0
		for j = 0; j < k; j++ {
			if subprob.y[j] > 0 {
				p_count++
			} else {
				n_count++
			}
		}
		if p_count == 0 && n_count == 0 {
			for j = begin; j < end; j++ {
				dec_values[perm[j]] = 0
			}
		} else if p_count > 0 && n_count == 0 {
			for j = begin; j < end; j++ {
				dec_values[perm[j]] = 1
			}
		} else if p_count == 0 && n_count > 0 {
			for j = begin; j < end; j++ {
				dec_values[perm[j]] = -1
			}
		} else {