bayesopt::ZeroFunction Class Reference
Constant zero function. More...
#include <mean_atomic.hpp>
Inheritance diagram for bayesopt::ZeroFunction:
Collaboration diagram for bayesopt::ZeroFunction:
Public Member Functions | |
| int | init (size_t input_dim) |
| double | getMean (const vectord &x) |
| vectord | getFeatures (const vectord &x) |
| Public Member Functions inherited from bayesopt::AtomicFunction | |
| 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 vectord | operator() (const vecOfvec &x) |
| virtual matrixd | getAllFeatures (const vecOfvec &x) |
Additional Inherited Members | |
| Protected Attributes inherited from bayesopt::AtomicFunction | |
| size_t | n_params |
| size_t | n_features |
| vectord | mParameters |
| Protected Attributes inherited from bayesopt::ParametricFunction | |
| size_t | n_inputs |
Detailed Description
Constant zero function.
Definition at line 69 of file mean_atomic.hpp.
The documentation for this class was generated from the following file:
