Package | Description |
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org.opencv.ml |
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.
|
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
|
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