bayesopt::ConstKernel Class Reference
Constant kernel. More...
#include <kernel_const.hpp>
Inheritance diagram for bayesopt::ConstKernel:
Collaboration diagram for bayesopt::ConstKernel:
Public Member Functions | |
| void | init (size_t input_dim) |
| 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::AtomicKernel | |
| void | setHyperParameters (const vectord &theta) |
| vectord | getHyperParameters () |
| size_t | nHyperParameters () |
| Public Member Functions inherited from bayesopt::Kernel | |
| virtual void | init (size_t input_dim, Kernel *left, Kernel *right) |
Additional Inherited Members | |
| Protected Attributes inherited from bayesopt::AtomicKernel | |
| size_t | n_params |
| vectord | params |
| Protected Attributes inherited from bayesopt::Kernel | |
| size_t | n_inputs |
Detailed Description
Constant kernel.
Combined with sum and product kernel can be used to scale a kernel or add noise.
Definition at line 39 of file kernel_const.hpp.
The documentation for this class was generated from the following file:
