StoppingCriteria.cpp File Reference

#include <shark/Data/Csv.h>
#include <shark/Models/LinearModel.h>
#include <shark/Models/ConcatenatedModel.h>
#include <shark/Algorithms/GradientDescent/Rprop.h>
#include <shark/ObjectiveFunctions/Loss/CrossEntropy.h>
#include <shark/ObjectiveFunctions/Loss/ZeroOneLoss.h>
#include <shark/Algorithms/Trainers/OptimizationTrainer.h>
#include <shark/Algorithms/StoppingCriteria/MaxIterations.h>
#include <shark/Algorithms/StoppingCriteria/TrainingError.h>
#include <shark/Algorithms/StoppingCriteria/GeneralizationQuotient.h>
#include <shark/Algorithms/StoppingCriteria/ValidatedStoppingCriterion.h>
#include <iostream>

Go to the source code of this file.

Functions
template<class T >
double	experiment (AbstractModel< RealVector, RealVector > &network, AbstractStoppingCriterion< T > &stoppingCriterion, ClassificationDataset const &trainingset, ClassificationDataset const &testset)
int	main ()

Function Documentation

experiment()

template<class T >

double experiment	(	AbstractModel< RealVector, RealVector > &	network,
		AbstractStoppingCriterion< T > &	stoppingCriterion,
		ClassificationDataset const &	trainingset,
		ClassificationDataset const &	testset
	)

Definition at line 20 of file StoppingCriteria.cpp.

References shark::initRandomUniform(), shark::LabeledData< InputT, LabelT >::inputs(), shark::LabeledData< InputT, LabelT >::labels(), and shark::OptimizationTrainer< Model, LabelTypeT >::train().

Referenced by main().

main()

int main

(

)

Definition at line 45 of file StoppingCriteria.cpp.

References experiment(), shark::importCSV(), shark::inputDimension(), shark::LAST_COLUMN, shark::numberOfClasses(), shark::LabeledData< InputT, LabelT >::numberOfElements(), shark::MaxIterations< ResultSet >::setMaxIterations(), shark::LabeledData< InputT, LabelT >::shuffle(), and shark::splitAtElement().