#include <shark/Data/Dataset.h>#include <shark/Algorithms/Trainers/CSvmTrainer.h>#include <shark/ObjectiveFunctions/Loss/ZeroOneLoss.h>#include <shark/Data/DataDistribution.h>Go to the source code of this file.
Typedefs | |
| typedef CompressedRealVector | VectorType |
| typedef CompressedRealMatrix | MatrixType |
Functions | |
| int | main (int argc, char **argv) |
Variables | |
| double const | noise = 1.0 |
| typedef CompressedRealMatrix MatrixType |
Definition at line 13 of file McSvmLinear.cpp.
| typedef CompressedRealVector VectorType |
Definition at line 12 of file McSvmLinear.cpp.
| int main | ( | int | argc, |
| char ** | argv | ||
| ) |
Definition at line 33 of file McSvmLinear.cpp.
References shark::ZeroOneLoss< LabelType, OutputType >::eval(), shark::LabeledData< InputT, LabelT >::inputs(), shark::LabeledData< InputT, LabelT >::labels(), shark::OVA, shark::LinearCSvmTrainer< InputType >::setMcSvmType(), and shark::LinearCSvmTrainer< InputType >::train().
| double const noise = 1.0 |
Definition at line 11 of file McSvmLinear.cpp.
Referenced by shark::CrossEntropyMethod::ConstantNoise::ConstantNoise(), and trainAutoencoderModel().