#include <fstream>#include <shark/Data/Dataset.h>#include <shark/Data/DataView.h>#include <shark/Models/Kernels/AbstractKernelFunction.h>#include <shark/Models/Kernels/ScaledKernel.h>#include <shark/Algorithms/Trainers/NormalizeKernelUnitVariance.h>Go to the source code of this file.
Namespaces | |
| shark | |
| AbstractMultiObjectiveOptimizer. | |
| enum | shark::KernelMatrixNormalizationType { shark::NONE, shark::MULTIPLICATIVE_TRACE_ONE, shark::MULTIPLICATIVE_TRACE_N, shark::MULTIPLICATIVE_VARIANCE_ONE, shark::CENTER_ONLY, shark::CENTER_AND_MULTIPLICATIVE_TRACE_ONE } |
| template<typename InputType , typename LabelType > | |
| void | shark::exportKernelMatrix (LabeledData< InputType, LabelType > const &dataset, AbstractKernelFunction< InputType > &kernel, std::ostream &out, KernelMatrixNormalizationType normalizer=NONE, bool scientific=false, unsigned int fieldwidth=0) |
| Write a kernel Gram matrix to stream. More... | |
| template<typename InputType , typename LabelType > | |
| void | shark::exportKernelMatrix (LabeledData< InputType, LabelType > const &dataset, AbstractKernelFunction< InputType > &kernel, std::string fn, KernelMatrixNormalizationType normalizer=NONE, bool sci=false, unsigned int width=0) |
| Write a kernel Gram matrix to file. More... | |
| template<typename InputType , typename LabelType > | |
| void | shark::export_kernel_matrix (LabeledData< InputType, LabelType > const &dataset, AbstractKernelFunction< InputType > &kernel, std::ostream &out, KernelMatrixNormalizationType normalizer=NONE, bool scientific=false, unsigned int fieldwidth=0) |
| template<typename InputType , typename LabelType > | |
| void | shark::export_kernel_matrix (LabeledData< InputType, LabelType > const &dataset, AbstractKernelFunction< InputType > &kernel, std::string fn, KernelMatrixNormalizationType normalizer=NONE, bool sci=false, unsigned int width=0) |