BayesOpt
bayesopt::AtomicFunction Class Reference

Abstract class for an atomic kernel. More...

#include <mean_atomic.hpp>

+ Inheritance diagram for bayesopt::AtomicFunction:
+ Collaboration diagram for bayesopt::AtomicFunction:

Public Member Functions

virtual int init (size_t input_dim)
 
void setParameters (const vectord &theta)
 
vectord getParameters ()
 
size_t nParameters ()
 
size_t nFeatures ()
 
- Public Member Functions inherited from bayesopt::ParametricFunction
virtual int init (size_t input_dim, ParametricFunction *left, ParametricFunction *right)
 
virtual double getMean (const vectord &x)=0
 
virtual vectord operator() (const vecOfvec &x)
 
virtual vectord getFeatures (const vectord &x)=0
 
virtual matrixd getAllFeatures (const vecOfvec &x)
 

Protected Attributes

size_t n_params
 
size_t n_features
 
vectord mParameters
 
- Protected Attributes inherited from bayesopt::ParametricFunction
size_t n_inputs
 

Detailed Description

Abstract class for an atomic kernel.

Definition at line 38 of file mean_atomic.hpp.


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