#include <shark/Data/Csv.h>#include <shark/Algorithms/Trainers/NormalizeComponentsUnitVariance.h>#include <shark/Models/RBFLayer.h>#include <shark/Models/ConvexCombination.h>#include <shark/Models/ConcatenatedModel.h>#include <shark/ObjectiveFunctions/NegativeLogLikelihood.h>#include <shark/Algorithms/GradientDescent/Rprop.h>#include <shark/Algorithms/KMeans.h>Go to the source code of this file.
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Definition at line 18 of file MaxLogLikelihood.cpp.
References shark::RBFLayer::centers(), shark::dataDimension(), shark::RBFLayer::gamma(), shark::importCSV(), shark::AbstractObjectiveFunction< PointType, ResultT >::init(), shark::IRpropPlus::init(), shark::initRandomUniform(), shark::kMeans(), shark::RBFLayer::setStructure(), shark::AbstractSingleObjectiveOptimizer< PointType >::solution(), shark::IRpropPlus::step(), shark::NormalizeComponentsUnitVariance< DataType >::train(), and shark::ResultSet< SearchPointT, ResultT >::value.