178     Mat thetas = Mat::zeros(num_classes, data_t.cols, CV_32F);  in train()  local
194         thetas = new_theta.t();  in train()
210             hconcat(new_theta.t(), thetas.row(ii));  in train()
215     this->learnt_thetas = thetas.clone();  in train()
228     Mat thetas, data, pred_labs;  in predict()  local
253     this->learnt_thetas.convertTo(thetas, CV_32F);  in predict()
255     CV_Assert(thetas.rows > 0);  in predict()
266     Mat pred_m = Mat::zeros(data_t.rows, thetas.rows, data.type());  in predict()
268     if(thetas.rows == 1)  in predict()
270         temp_pred = calc_sigmoid(data_t*thetas.t());  in predict()
279         for(int i = 0;i<thetas.rows;i++)  in predict()
281             temp_pred = calc_sigmoid(data_t * thetas.row(i).t());  in predict()