ns_model.hpp File Reference

Include dependency graph for ns_model.hpp:

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Classes
class	mlpack::neighbor::BiSearchVisitor< SortPolicy >
	BiSearchVisitor executes a bichromatic neighbor search on the given NSType. More...
class	mlpack::neighbor::DeleteVisitor
	DeleteVisitor deletes the given NSType instance. More...
class	mlpack::neighbor::EpsilonVisitor
	EpsilonVisitor exposes the Epsilon method of the given NSType. More...
class	mlpack::neighbor::MonoSearchVisitor
	MonoSearchVisitor executes a monochromatic neighbor search on the given NSType. More...
class	mlpack::neighbor::NSModel< SortPolicy >
	The NSModel class provides an easy way to serialize a model, abstracts away the different types of trees, and also reflects the NeighborSearch API. More...
struct	mlpack::neighbor::NSModelName< SortPolicy >
struct	mlpack::neighbor::NSModelName< FurthestNeighborSort >
struct	mlpack::neighbor::NSModelName< NearestNeighborSort >
class	mlpack::neighbor::ReferenceSetVisitor
	ReferenceSetVisitor exposes the referenceSet of the given NSType. More...
class	mlpack::neighbor::SearchModeVisitor
	SearchModeVisitor exposes the SearchMode() method of the given NSType. More...
class	mlpack::neighbor::TrainVisitor< SortPolicy >
	TrainVisitor sets the reference set to a new reference set on the given NSType. More...

Namespaces
	mlpack
	Linear algebra utility functions, generally performed on matrices or vectors.
	mlpack::neighbor
	Neighbor-search routines.

Typedefs
template<typename SortPolicy , template< typename TreeMetricType, typename TreeStatType, typename TreeMatType > class TreeType>
using	mlpack::neighbor::NSType = NeighborSearch< SortPolicy, metric::EuclideanDistance, arma::mat, TreeType, TreeType< metric::EuclideanDistance, NeighborSearchStat< SortPolicy >, arma::mat >::template DualTreeTraverser >
	Alias template for euclidean neighbor search. More...

Functions
	BOOST_TEMPLATE_CLASS_VERSION (template< typename SortPolicy >, mlpack::neighbor::NSModel< SortPolicy >, 1)
	Set the serialization version of the NSModel class. More...

Detailed Description

Author

Ryan Curtin

This is a model for nearest or furthest neighbor search. It is useful in that it provides an easy way to serialize a model, abstracts away the different types of trees, and also reflects the NeighborSearch API and automatically directs to the right tree type.

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.

Definition in file ns_model.hpp.

Function Documentation

BOOST_TEMPLATE_CLASS_VERSION	(	template< typename SortPolicy >	,
		mlpack::neighbor::NSModel< SortPolicy >	,
		1
	)

Set the serialization version of the NSModel class.

Referenced by mlpack::neighbor::NSModel< SortPolicy >::RandomBasis().