ROW_SAMPLE        166 modules/ml/include/opencv2/ml.hpp     CV_WRAP virtual Mat getTrainSamples(int layout=ROW_SAMPLE,
ROW_SAMPLE        132 modules/ml/src/data.cpp                layout == ROW_SAMPLE ? samples.rows : samples.cols;
ROW_SAMPLE        148 modules/ml/src/data.cpp         return layout == ROW_SAMPLE ? samples.cols : samples.rows;
ROW_SAMPLE        226 modules/ml/src/data.cpp         layout = ROW_SAMPLE;
ROW_SAMPLE        237 modules/ml/src/data.cpp         CV_Assert(_layout == ROW_SAMPLE || _layout == COL_SAMPLE );
ROW_SAMPLE        247 modules/ml/src/data.cpp         int nsamples = layout == ROW_SAMPLE ? samples.rows : samples.cols;
ROW_SAMPLE        248 modules/ml/src/data.cpp         int ninputvars = layout == ROW_SAMPLE ? samples.cols : samples.rows;
ROW_SAMPLE        289 modules/ml/src/data.cpp                 CV_Assert( (layout == ROW_SAMPLE && responses.rows == nsamples) ||
ROW_SAMPLE        291 modules/ml/src/data.cpp                 noutputvars = layout == ROW_SAMPLE ? responses.cols : responses.rows;
ROW_SAMPLE        330 modules/ml/src/data.cpp         Mat non_missing(layout == ROW_SAMPLE ? Size(1, nsamples) : Size(nsamples, 1), CV_8U, (uchar*)buf);
ROW_SAMPLE        343 modules/ml/src/data.cpp             Mat values_i = layout == ROW_SAMPLE ? samples.col(i) : samples.row(i);
ROW_SAMPLE        640 modules/ml/src/data.cpp         setData(tempSamples, ROW_SAMPLE, tempResponses, noArray(), noArray(),
ROW_SAMPLE        837 modules/ml/src/data.cpp         size_t sstep = layout == ROW_SAMPLE ? sstep0 : 1;
ROW_SAMPLE        838 modules/ml/src/data.cpp         size_t vstep = layout == ROW_SAMPLE ? 1 : sstep0;
ROW_SAMPLE        872 modules/ml/src/data.cpp         size_t sstep = layout == ROW_SAMPLE ? step : 1;
ROW_SAMPLE        873 modules/ml/src/data.cpp         size_t vstep = layout == ROW_SAMPLE ? 1 : step;
ROW_SAMPLE        948 modules/ml/src/data.cpp         size_t sstep = layout == ROW_SAMPLE ? step : 1;
ROW_SAMPLE        949 modules/ml/src/data.cpp         size_t vstep = layout == ROW_SAMPLE ? 1 : step;
ROW_SAMPLE         92 modules/ml/src/inner_functions.cpp         Mat sample = layout == ROW_SAMPLE ? samples.row(si) : samples.col(si);
ROW_SAMPLE         76 modules/ml/src/knearest.cpp         Mat new_samples = data->getTrainSamples(ROW_SAMPLE);
ROW_SAMPLE        318 modules/ml/test/test_emknearestkmeans.cpp     knearest->train(trainData, ml::ROW_SAMPLE, trainLabels);
ROW_SAMPLE        335 modules/ml/test/test_emknearestkmeans.cpp     knearestKdt->train(trainData, ml::ROW_SAMPLE, trainLabels);
ROW_SAMPLE         72 modules/ml/test/test_svmtrainauto.cpp     cv::Ptr<TrainData> data = TrainData::create( samples, cv::ml::ROW_SAMPLE, responses );
ROW_SAMPLE        109 samples/cpp/letter_recog.cpp     return TrainData::create(data, ROW_SAMPLE, responses,
ROW_SAMPLE        280 samples/cpp/letter_recog.cpp         Ptr<TrainData> tdata = TrainData::create(new_data, ROW_SAMPLE, new_responses,
ROW_SAMPLE        408 samples/cpp/letter_recog.cpp         Ptr<TrainData> tdata = TrainData::create(train_data, ROW_SAMPLE, train_responses);
ROW_SAMPLE        145 samples/cpp/logistic_regression.cpp     lr1->train(data_train, ROW_SAMPLE, labels_train);
ROW_SAMPLE         82 samples/cpp/points_classifier.cpp     return TrainData::create(samples, ROW_SAMPLE, Mat(trainedPointsMarkers));
ROW_SAMPLE        225 samples/cpp/points_classifier.cpp     Ptr<TrainData> tdata = TrainData::create(samples, ROW_SAMPLE, trainClasses);
ROW_SAMPLE        332 samples/cpp/train_HOG.cpp     svm->train(train_data, ROW_SAMPLE, Mat(labels));
ROW_SAMPLE         35 samples/cpp/tutorial_code/ml/introduction_to_svm/introduction_to_svm.cpp     svm->train(trainingDataMat, ROW_SAMPLE, labelsMat);
ROW_SAMPLE         88 samples/cpp/tutorial_code/ml/non_linear_svms/non_linear_svms.cpp     svm->train(trainData, ROW_SAMPLE, labels);