Linear kernel. More...

Inheritance diagram for bayesopt::LinKernelARD:

Collaboration diagram for bayesopt::LinKernelARD:

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

Linear kernel.

Definition at line 54 of file kernel_linear.hpp.

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

Public Member Functions