bayesopt::ARDkernel Class Reference
Abstract class for anisotropic kernel functors using ARD (Automatic Relevance Determination) More...
#include <kernel_atomic.hpp>
Inheritance diagram for bayesopt::ARDkernel:
Collaboration diagram for bayesopt::ARDkernel:
Protected Member Functions | |
| double | computeWeightedNorm2 (const vectord &x1, const vectord &x2) |
Additional Inherited Members | |
| Public Member Functions inherited from bayesopt::AtomicKernel | |
| virtual void | init (size_t input_dim) |
| 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) |
| 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 inherited from bayesopt::AtomicKernel | |
| size_t | n_params |
| vectord | params |
| Protected Attributes inherited from bayesopt::Kernel | |
| size_t | n_inputs |
Detailed Description
Abstract class for anisotropic kernel functors using ARD (Automatic Relevance Determination)
Definition at line 90 of file kernel_atomic.hpp.
The documentation for this class was generated from the following file:
