mlpack::kde Namespace Reference

Kernel Density Estimation. More...

Classes
class	KDE
	The KDE class is a template class for performing Kernel Density Estimations. More...
class	KDECleanRules
	A dual-tree traversal Rules class for cleaning used trees before performing kernel density estimation. More...
struct	KDEDefaultParams
	KDEDefaultParams contains the default input parameter values for KDE. More...
class	KDEModel
	The KDEModel provides an abstraction for the KDE class, abstracting away the KernelType and TreeType parameters and allowing those to be specified at runtime. More...
class	KDERules
	A dual-tree traversal Rules class for kernel density estimation. More...
class	KDEStat
	Extra data for each node in the tree for the task of kernel density estimation. More...
class	KDEWrapper
	KDEWrapper is a wrapper class for all KDE types supported by KDEModel. More...
class	KDEWrapperBase
	KDEWrapperBase is a base wrapper class for holding all KDE types supported by KDEModel. More...
class	KernelNormalizer
	KernelNormalizer holds a set of methods to normalize estimations applying in each case the appropiate kernel normalizer function. More...

Enumerations
enum	KDEMode { DUAL_TREE_MODE, SINGLE_TREE_MODE }
	KDEMode represents the ways in which KDE algorithm can be executed.

Functions
template<typename TreeType , typename MatType >
TreeType *	BuildTree (MatType &&dataset, std::vector< size_t > &oldFromNew, const typename std::enable_if< tree::TreeTraits< TreeType >::RearrangesDataset >::type *=0)
	Construct tree that rearranges the dataset.
template<typename TreeType , typename MatType >
TreeType *	BuildTree (MatType &&dataset, const std::vector< size_t > &, const typename std::enable_if< !tree::TreeTraits< TreeType >::RearrangesDataset >::type *=0)
	Construct tree that doesn't rearrange the dataset.
template<template< typename TreeMetricType, typename TreeMatType, typename TreeStatType > class TreeType>
KDEWrapperBase *	InitializeModelHelper (const KDEModel::KernelTypes kernelType, const double relError, const double absError, const double bandwidth)
template<template< typename TreeMetricType, typename TreeStatType, typename TreeMatType > class TreeType, typename Archive >
void	SerializationHelper (Archive &ar, KDEWrapperBase *kdeModel, const KDEModel::KernelTypes kernelType)

Detailed Description

Kernel Density Estimation.