Uses of Class
org.bytedeco.opencv.opencv_ml.ParamGrid

Packages that use ParamGrid

Package	Description
org.bytedeco.opencv.opencv_ml

Uses of ParamGrid in org.bytedeco.opencv.opencv_ml

Methods in org.bytedeco.opencv.opencv_ml that return ParamGrid

Modifier and Type	Method and Description
static ParamGrid	ParamGrid.create()
static ParamGrid	ParamGrid.create(double minVal, double maxVal, double logstep) \brief Creates a ParamGrid Ptr that can be given to the %SVM::trainAuto method
static ParamGrid	SVM.getDefaultGrid(int param_id) \brief Generates a grid for %SVM parameters.
static ParamGrid	SVM.getDefaultGridPtr(int param_id) \brief Generates a grid for %SVM parameters.
ParamGrid	ParamGrid.logStep(double setter)
ParamGrid	ParamGrid.maxVal(double setter)
ParamGrid	ParamGrid.minVal(double setter)
ParamGrid	ParamGrid.position(long position)

Methods in org.bytedeco.opencv.opencv_ml with parameters of type ParamGrid

Modifier and Type	Method and Description
boolean	SVM.trainAuto(GpuMat samples, int layout, GpuMat responses, int kFold, ParamGrid Cgrid, ParamGrid gammaGrid, ParamGrid pGrid, ParamGrid nuGrid, ParamGrid coeffGrid, ParamGrid degreeGrid, boolean balanced)
boolean	SVM.trainAuto(Mat samples, int layout, Mat responses, int kFold, ParamGrid Cgrid, ParamGrid gammaGrid, ParamGrid pGrid, ParamGrid nuGrid, ParamGrid coeffGrid, ParamGrid degreeGrid, boolean balanced) \brief Trains an %SVM with optimal parameters
boolean	SVM.trainAuto(TrainData data, int kFold, ParamGrid Cgrid, ParamGrid gammaGrid, ParamGrid pGrid, ParamGrid nuGrid, ParamGrid coeffGrid, ParamGrid degreeGrid, boolean balanced) \brief Trains an %SVM with optimal parameters.
boolean	SVM.trainAuto(UMat samples, int layout, UMat responses, int kFold, ParamGrid Cgrid, ParamGrid gammaGrid, ParamGrid pGrid, ParamGrid nuGrid, ParamGrid coeffGrid, ParamGrid degreeGrid, boolean balanced)