#include <SOMTrainer.h>
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| SOMTrainer (NeighborhoodFunc::Signature neighborhood_func, LearningRestraintFunc::Signature learning_restraint_func) |
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template<std::size_t ND, typename DistFunc , typename InputIter , typename InputToWeightFunc > |
void | train (SOM< ND, DistFunc > &som, std::size_t iter_no, InputIter begin, InputIter end, InputToWeightFunc weight_func, const SamplingPolicy::Interface< InputIter > &sampling_policy=SamplingPolicy::FullSet< InputIter >{}) |
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Definition at line 35 of file SOMTrainer.h.
◆ SOMTrainer()
◆ train()
template<std::size_t ND, typename DistFunc , typename InputIter , typename InputToWeightFunc >
◆ m_learning_restraint_func
◆ m_neighborhood_func
The documentation for this class was generated from the following file: