bayesopt::AnnealedLowerConfindenceBound Class Reference
Lower (upper) confidence bound using Srinivas annealing [Srinivas10]. More...
#include <criteria_lcb.hpp>
Inheritance diagram for bayesopt::AnnealedLowerConfindenceBound:
Collaboration diagram for bayesopt::AnnealedLowerConfindenceBound:
Public Member Functions | |
| void | init (NonParametricProcess *proc) |
| void | setParameters (const vectord ¶ms) |
| size_t | nParameters () |
| void | reset () |
| double | operator() (const vectord &x) |
| void | update (const vectord &x) |
| std::string | name () |
| Public Member Functions inherited from bayesopt::Criteria | |
| double | evaluate (const vectord &x) |
| void | setRandomEngine (randEngine &eng) |
| virtual void | pushCriteria (Criteria *crit) |
| virtual bool | requireComparison () |
| virtual void | initialCriteria () |
| virtual bool | rotateCriteria () |
| virtual void | pushResult (const vectord &prevResult) |
| virtual std::string | getBestCriteria (vectord &best) |
Private Attributes | |
| double | mCoef |
| unsigned int | nCalls |
Additional Inherited Members | |
| Protected Attributes inherited from bayesopt::Criteria | |
| NonParametricProcess * | mProc |
| randEngine * | mtRandom |
Detailed Description
Lower (upper) confidence bound using Srinivas annealing [Srinivas10].
Definition at line 61 of file criteria_lcb.hpp.
The documentation for this class was generated from the following file:
