BayesOpt
bayesopt::KernelProd Class Reference

Product of two kernels. More...

#include <kernel_prod.hpp>

+ Inheritance diagram for bayesopt::KernelProd:
+ Collaboration diagram for bayesopt::KernelProd:

Public Member Functions

double operator() (const vectord &x1, const vectord &x2)
 
double gradient (const vectord &x1, const vectord &x2, size_t component)
 
- Public Member Functions inherited from bayesopt::CombinedKernel
virtual void init (size_t input_dim, Kernel *left, Kernel *right)
 
void setHyperParameters (const vectord &theta)
 
vectord getHyperParameters ()
 
size_t nHyperParameters ()
 
- Public Member Functions inherited from bayesopt::Kernel
virtual void init (size_t input_dim)
 

Additional Inherited Members

- Protected Attributes inherited from bayesopt::CombinedKernel
Kernelleft
 
Kernelright
 
- Protected Attributes inherited from bayesopt::Kernel
size_t n_inputs
 

Detailed Description

Product of two kernels.

Definition at line 36 of file kernel_prod.hpp.


The documentation for this class was generated from the following file: