Factory model for parametric 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 <mean_functors.hpp>
Collaboration diagram for bayesopt::MeanFactory:
Public Member Functions | |
| ParametricFunction * | 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 ParametricFunction *(* | create_func_definition) () |
Private Attributes | |
| std::map< std::string, MeanFactory::create_func_definition > | registry |
Detailed Description
Factory model for parametric 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 103 of file mean_functors.hpp.
Member Function Documentation
◆ create()
| ParametricFunction * bayesopt::MeanFactory::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/.
- Parameters
-
name string with the kernel structure imput_dim number of input dimensions
- Returns
- kernel pointer
Definition at line 31 of file mean_functors.cpp.
References bayesopt::utils::parseExpresion().
Referenced by bayesopt::MeanModel::setMean().
The documentation for this class was generated from the following files:
