47     vector<int> responses;  in read_num_class_data()  local
64         responses.push_back((int)buf[0]);  in read_num_class_data()
77     Mat(responses).copyTo(*_responses);  in read_num_class_data()
98 prepare_train_data(const Mat& data, const Mat& responses, int ntrain_samples)  in prepare_train_data()  argument
109     return TrainData::create(data, ROW_SAMPLE, responses,  in prepare_train_data()
119                                      const Mat& data, const Mat& responses,  in test_and_save_classifier()  argument
132         r = std::abs(r + rdelta - responses.at<int>(i)) <= FLT_EPSILON ? 1.f : 0.f;  in test_and_save_classifier()
159     Mat responses;  in build_rtrees_classifier()  local
160     bool ok = read_num_class_data( data_filename, 16, &data, &responses );  in build_rtrees_classifier()
186         Ptr<TrainData> tdata = prepare_train_data(data, responses, ntrain_samples);  in build_rtrees_classifier()
201     test_and_save_classifier(model, data, responses, ntrain_samples, 0, filename_to_save);  in build_rtrees_classifier()
226     Mat responses;  in build_boost_classifier()  local
229     bool ok = read_num_class_data( data_filename, 16, &data, &responses );  in build_boost_classifier()
272                 new_responses.at<int>(i*class_count + j) = responses.at<int>(i) == j+'A';  in build_boost_classifier()
322         double r = std::abs(best_class - responses.at<int>(i)) < FLT_EPSILON ? 1 : 0;  in build_boost_classifier()
351     Mat responses;  in build_mlp_classifier()  local
353     bool ok = read_num_class_data( data_filename, 16, &data, &responses );  in build_mlp_classifier()
389             int cls_label = responses.at<int>(i) - 'A';  in build_mlp_classifier()
420     test_and_save_classifier(model, data, responses, ntrain_samples, 'A', filename_to_save);  in build_mlp_classifier()
428     Mat responses;  in build_knearest_classifier()  local
429     bool ok = read_num_class_data( data_filename, 16, &data, &responses );  in build_knearest_classifier()
439     Ptr<TrainData> tdata = prepare_train_data(data, responses, ntrain_samples);  in build_knearest_classifier()
446     test_and_save_classifier(model, data, responses, ntrain_samples, 0, string());  in build_knearest_classifier()
454     Mat responses;  in build_nbayes_classifier()  local
455     bool ok = read_num_class_data( data_filename, 16, &data, &responses );  in build_nbayes_classifier()
466     Ptr<TrainData> tdata = prepare_train_data(data, responses, ntrain_samples);  in build_nbayes_classifier()
471     test_and_save_classifier(model, data, responses, ntrain_samples, 0, string());  in build_nbayes_classifier()
481     Mat responses;  in build_svm_classifier()  local
482     bool ok = read_num_class_data( data_filename, 16, &data, &responses );  in build_svm_classifier()
503         Ptr<TrainData> tdata = prepare_train_data(data, responses, ntrain_samples);  in build_svm_classifier()
512     test_and_save_classifier(model, data, responses, ntrain_samples, 0, filename_to_save);  in build_svm_classifier()