| BayesOpt
    | 
Sum of two kernels. More...
#include <kernel_sum.hpp>
 Inheritance diagram for bayesopt::KernelSum:
 Inheritance diagram for bayesopt::KernelSum: Collaboration diagram for bayesopt::KernelSum:
 Collaboration diagram for bayesopt::KernelSum:| 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 | |
| Kernel * | left | 
| Kernel * | right | 
|  Protected Attributes inherited from bayesopt::Kernel | |
| size_t | n_inputs | 
Sum of two kernels.
Definition at line 35 of file kernel_sum.hpp.