KernelNormalizer Class Reference
KernelNormalizer holds a set of methods to normalize estimations applying in each case the appropiate kernel normalizer function. More...
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. More... | |
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. More... | |
Detailed Description
KernelNormalizer holds a set of methods to normalize estimations applying in each case the appropiate kernel normalizer function.
Definition at line 34 of file kde_model.hpp.
Member Function Documentation
◆ ApplyNormalizer() [1/2]
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inlinestatic |
Normalization not needed.
Definition at line 43 of file kde_model.hpp.
◆ ApplyNormalizer() [2/2]
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inlinestatic |
Normalize kernels that have normalizer.
Definition at line 54 of file kde_model.hpp.
The documentation for this class was generated from the following file:
- /home/ryan/src/mlpack.org/_src/mlpack-git/src/mlpack/methods/kde/kde_model.hpp