Function sigmoidPredict

src/thundersvm/model/svc.cpp:185–192

}

float_type sigmoidPredict(float_type dec_value, float_type A, float_type B) {
    double fApB = dec_value * A + B;
    // 1-p used later; avoid catastrophic cancellation
    if (fApB >= 0)
        return exp(-fApB) / (1.0 + exp(-fApB));
    else
        return 1.0 / (1 + exp(fApB));
}

void SVC::multiclass_probability(const vector<vector<float_type> > &r, vector<float_type> &p) const {
    int nrClass = n_classes;