BayesOpt
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Factory model for kernel functions This factory is based on the libgp library by Manuel Blum https://bitbucket.org/mblum/libgp which follows the squeme of GPML by Rasmussen and Nickisch http://www.gaussianprocess.org/gpml/code/matlab/doc/. More...
#include <kernel_functors.hpp>
Public Member Functions | |
Kernel * | create (std::string name, size_t input_dim) |
Factory model for kernel functions This function is based on the libgp library by Manuel Blum https://bitbucket.org/mblum/libgp which follows the squeme of GPML by Rasmussen and Nickisch http://www.gaussianprocess.org/gpml/code/matlab/doc/. More... | |
Private Types | |
typedef Kernel *(* | create_func_definition) () |
Private Attributes | |
std::map< std::string, KernelFactory::create_func_definition > | registry |
Factory model for kernel functions This factory is based on the libgp library by Manuel Blum https://bitbucket.org/mblum/libgp which follows the squeme of GPML by Rasmussen and Nickisch http://www.gaussianprocess.org/gpml/code/matlab/doc/.
Definition at line 76 of file kernel_functors.hpp.
Kernel * bayesopt::KernelFactory::create | ( | std::string | name, |
size_t | input_dim | ||
) |
Factory model for kernel functions This function is based on the libgp library by Manuel Blum https://bitbucket.org/mblum/libgp which follows the squeme of GPML by Rasmussen and Nickisch http://www.gaussianprocess.org/gpml/code/matlab/doc/.
name | string with the kernel structure |
imput_dim | number of input dimensions |
Definition at line 87 of file kernel_functors.cpp.
References bayesopt::Parameters::kernel, and bayesopt::utils::parseExpresion().
Referenced by bayesopt::KernelModel::setKernel().