kde.hpp File Reference

#include <mlpack/prereqs.hpp>
#include <mlpack/core/tree/binary_space_tree.hpp>
#include "kde_stat.hpp"
#include "kde_impl.hpp"

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Classes
struct	mlpack::kde::KDEDefaultParams
	KDEDefaultParams contains the default input parameter values for KDE. More...
class	mlpack::kde::KDE< KernelType, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType >
	The KDE class is a template class for performing Kernel Density Estimations. More...

Namespaces
	mlpack
	Linear algebra utility functions, generally performed on matrices or vectors.
	mlpack::kde
	Kernel Density Estimation.

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

Detailed Description

Author

Roberto Hueso

Kernel Density Estimation.

mlpack is free software; you may redistribute it and/or modify it under the terms of the 3-clause BSD license. You should have received a copy of the 3-clause BSD license along with mlpack. If not, see http://www.opensource.org/licenses/BSD-3-Clause for more information.