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BayesOpt
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Linear combination plus constant function. More...
#include <mean_atomic.hpp>
Inheritance diagram for bayesopt::LinearPlusConstantFunction:
Collaboration diagram for bayesopt::LinearPlusConstantFunction:Public Member Functions | |
| int | init (size_t input_dim) |
| void | setParameters (const vectord ¶ms) |
| double | getMean (const vectord &x) |
| vectord | getFeatures (const vectord &x) |
Public Member Functions inherited from bayesopt::AtomicFunction | |
| 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) |
Protected Attributes | |
| double | mConstParam |
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 |
Linear combination plus constant function.
The first parameter indicates the constant value.
Definition at line 136 of file mean_atomic.hpp.