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

Packages that use opencv_ml.ParamGrid

Package	Description
org.bytedeco.javacpp

Uses of opencv_ml.ParamGrid in org.bytedeco.javacpp

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

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

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

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