mlpack::kde::KernelNormalizer Class Reference

KernelNormalizer holds a set of methods to normalize estimations applying in each case the appropiate kernel normalizer function. More...

#include <kde_model.hpp>

Static Public Member Functions
template<typename KernelType >
static void	ApplyNormalizer (KernelType &, const size_t, arma::vec &, const typename std::enable_if< !HasNormalizer< KernelType, double(KernelType::*)(size_t)>::value >::type *=0)
	Normalization not needed.
template<typename KernelType >
static void	ApplyNormalizer (KernelType &kernel, const size_t dimension, arma::vec &estimations, const typename std::enable_if< HasNormalizer< KernelType, double(KernelType::*)(size_t)>::value >::type *=0)
	Normalize kernels that have normalizer.

Detailed Description

KernelNormalizer holds a set of methods to normalize estimations applying in each case the appropiate kernel normalizer function.

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The documentation for this class was generated from the following file:

• src/mlpack/methods/kde/kde_model.hpp