#include <shark/Core/ResultSets.h>
Public Types | |
typedef SearchPointT | SearchPointType |
typedef ResultT | ResultType |
Public Member Functions | |
ResultSet () | |
ResultSet (ResultType const &value, SearchPointType const &point) | |
template<typename Archive > | |
void | serialize (Archive &archive, const unsigned int) |
Public Attributes | |
SearchPointType | point |
ResultType | value |
Friends | |
void | swap (ResultSet &set1, ResultSet &set2) |
Definition at line 41 of file ResultSets.h.
typedef ResultT shark::ResultSet< SearchPointT, ResultT >::ResultType |
Definition at line 43 of file ResultSets.h.
typedef SearchPointT shark::ResultSet< SearchPointT, ResultT >::SearchPointType |
Definition at line 42 of file ResultSets.h.
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inline |
Definition at line 44 of file ResultSets.h.
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inline |
Definition at line 45 of file ResultSets.h.
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inline |
Definition at line 52 of file ResultSets.h.
References shark::ResultSet< SearchPointT, ResultT >::point, and shark::ResultSet< SearchPointT, ResultT >::value.
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friend |
Definition at line 57 of file ResultSets.h.
SearchPointType shark::ResultSet< SearchPointT, ResultT >::point |
Definition at line 48 of file ResultSets.h.
Referenced by shark::Adam< SearchPointType >::init(), shark::SteepestDescent< SearchPointType >::init(), main(), main(), shark::operator<<(), shark::operator<<(), run_one_trial(), shark::ResultSet< SearchPointT, ResultT >::serialize(), shark::Adam< SearchPointType >::step(), shark::SteepestDescent< SearchPointType >::step(), shark::ValidatedStoppingCriterion::stop(), shark::OptimizationTrainer< Model, LabelTypeT >::train(), and trainRBM().
ResultType shark::ResultSet< SearchPointT, ResultT >::value |
Definition at line 49 of file ResultSets.h.
Referenced by shark::Adam< SearchPointType >::init(), shark::SteepestDescent< SearchPointType >::init(), main(), main(), shark::operator<<(), shark::operator<<(), run_one_trial(), shark::ResultSet< SearchPointT, ResultT >::serialize(), shark::Adam< SearchPointType >::step(), shark::SteepestDescent< SearchPointType >::step(), shark::GeneralizationLoss< PointType >::stop(), shark::TrainingProgress< PointType >::stop(), shark::TrainingError< PointType >::stop(), and shark::GeneralizationQuotient< PointType >::stop().