BayesOpt
bayesopt::CombinedKernel Class Reference

Abstract class for combined kernel. More...

#include <kernel_combined.hpp>

+ Inheritance diagram for bayesopt::CombinedKernel:
+ Collaboration diagram for bayesopt::CombinedKernel:

Public Member Functions

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)
 
virtual double operator() (const vectord &x1, const vectord &x2)=0
 
virtual double gradient (const vectord &x1, const vectord &x2, size_t component)=0
 

Protected Attributes

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

Detailed Description

Abstract class for combined kernel.

It allows combinations of other kernels (addition, product, etc.)

Definition at line 40 of file kernel_combined.hpp.


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