#include <cstdio>#include <tuple>#include <shark/LinAlg/Base.h>#include <shark/Core/Random.h>#include <shark/Data/Dataset.h>#include <shark/Data/DataDistribution.h>#include <shark/Models/Kernels/GaussianRbfKernel.h>#include <shark/Algorithms/Trainers/CSvmTrainer.h>#include <shark/ObjectiveFunctions/Loss/ZeroOneLoss.h>Go to the source code of this file.
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Definition at line 31 of file McSvm.cpp.
References shark::ADM, shark::ATM, shark::ATS, shark::CS, shark::ZeroOneLoss< LabelType, OutputType >::eval(), shark::LabeledData< InputT, LabelT >::inputs(), shark::QpSolutionProperties::iterations, shark::LabeledData< InputT, LabelT >::labels(), shark::LLW, shark::MMR, shark::OVA, shark::ReinforcedSvm, shark::QpSolutionProperties::seconds, shark::CSvmTrainer< InputType, CacheType >::setMcSvmType(), shark::QpConfig::solutionProperties(), shark::CSvmTrainer< InputType, CacheType >::train(), shark::AbstractSvmTrainer< InputType, unsigned int, KernelClassifier< InputType >, AbstractWeightedTrainer< KernelClassifier< InputType > > >::trainOffset(), and shark::WW.