Uses of Class
org.opencv.ml.ParamGrid

Packages that use ParamGrid

Package	Description
org.opencv.ml

Uses of ParamGrid in org.opencv.ml

Methods in org.opencv.ml that return ParamGrid

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

Methods in org.opencv.ml with parameters of type ParamGrid

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