ml               2872 modules/core/include/opencv2/core.hpp     virtual void setMultiline(bool ml = true) = 0;
ml                271 modules/core/src/out.cpp         void setMultiline(bool ml)
ml                273 modules/core/src/out.cpp             multiline = ml;
ml                 79 modules/ml/src/knearest.cpp         bool update = (flags & ml::KNearest::UPDATE_MODEL) != 0 && !samples.empty();
ml                141 modules/ml/src/knearest.cpp     int getType() const { return ml::KNearest::BRUTE_FORCE; }
ml                365 modules/ml/src/knearest.cpp     int getType() const { return ml::KNearest::KDTREE; }
ml                 46 modules/ml/test/test_emknearestkmeans.cpp using cv::ml::TrainData;
ml                 47 modules/ml/test/test_emknearestkmeans.cpp using cv::ml::EM;
ml                 48 modules/ml/test/test_emknearestkmeans.cpp using cv::ml::KNearest;
ml                318 modules/ml/test/test_emknearestkmeans.cpp     knearest->train(trainData, ml::ROW_SAMPLE, trainLabels);
ml                335 modules/ml/test/test_emknearestkmeans.cpp     knearestKdt->train(trainData, ml::ROW_SAMPLE, trainLabels);
ml                 63 modules/ml/test/test_lr.cpp using namespace cv::ml;
ml                 31 modules/ml/test/test_precomp.hpp using cv::ml::StatModel;
ml                 32 modules/ml/test/test_precomp.hpp using cv::ml::TrainData;
ml                 33 modules/ml/test/test_precomp.hpp using cv::ml::NormalBayesClassifier;
ml                 34 modules/ml/test/test_precomp.hpp using cv::ml::SVM;
ml                 35 modules/ml/test/test_precomp.hpp using cv::ml::KNearest;
ml                 36 modules/ml/test/test_precomp.hpp using cv::ml::ParamGrid;
ml                 37 modules/ml/test/test_precomp.hpp using cv::ml::ANN_MLP;
ml                 38 modules/ml/test/test_precomp.hpp using cv::ml::DTrees;
ml                 39 modules/ml/test/test_precomp.hpp using cv::ml::Boost;
ml                 40 modules/ml/test/test_precomp.hpp using cv::ml::RTrees;
ml                186 modules/ml/test/test_save_load.cpp         using namespace cv::ml;
ml                239 modules/ml/test/test_save_load.cpp             if (varTypes[var] == ml::VAR_CATEGORICAL)
ml                274 modules/ml/test/test_save_load.cpp     Ptr<cv::ml::SVM> svm1, svm2, svm3;
ml                 46 modules/ml/test/test_svmtrainauto.cpp using cv::ml::SVM;
ml                 47 modules/ml/test/test_svmtrainauto.cpp using cv::ml::TrainData;
ml                 72 modules/ml/test/test_svmtrainauto.cpp     cv::Ptr<TrainData> data = TrainData::create( samples, cv::ml::ROW_SAMPLE, responses );
ml                220 modules/videoio/src/cap_dc1394_v2.cpp     virtual bool initVidereRectifyMaps( const char* info, IplImage* ml[2], IplImage* mr[2] );
ml                868 modules/videoio/src/cap_dc1394_v2.cpp     IplImage* ml[2], IplImage* mr[2] )
ml                879 modules/videoio/src/cap_dc1394_v2.cpp     IplImage* mx = cvCreateImage(cvGetSize(ml[0]), IPL_DEPTH_32F, 1);
ml                880 modules/videoio/src/cap_dc1394_v2.cpp     IplImage* my = cvCreateImage(cvGetSize(ml[0]), IPL_DEPTH_32F, 1);
ml                891 modules/videoio/src/cap_dc1394_v2.cpp         IplImage** dst = k == 0 ? ml : mr;
ml                 62 modules/videostab/src/wobble_suppression.cpp                     const float *ml, const float *mr, PtrStepSzf mapx, PtrStepSzf mapy);
ml                 66 modules/videostab/src/wobble_suppression.cpp                     int left, int idx, int right, Size size, const Mat &ml, const Mat &mr,
ml                 69 modules/videostab/src/wobble_suppression.cpp                 CV_Assert(ml.size() == Size(3, 3) && ml.type() == CV_32F && ml.isContinuous());
ml                 77 modules/videostab/src/wobble_suppression.cpp                             ml.ptr<float>(), mr.ptr<float>(), mapx, mapy);
ml                  6 samples/cpp/em.cpp using namespace cv::ml;
ml                 10 samples/cpp/letter_recog.cpp using namespace cv::ml;
ml                 67 samples/cpp/logistic_regression.cpp using namespace cv::ml;
ml                 15 samples/cpp/points_classifier.cpp using namespace cv::ml;
ml                 11 samples/cpp/train_HOG.cpp using namespace cv::ml;
ml                  9 samples/cpp/tree_engine.cpp using namespace cv::ml;
ml                  8 samples/cpp/tutorial_code/ml/introduction_to_svm/introduction_to_svm.cpp using namespace cv::ml;
ml                 12 samples/cpp/tutorial_code/ml/non_linear_svms/non_linear_svms.cpp using namespace cv::ml;