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	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	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