knncolle::L2NormalizedSearcher< Index_, Float_ > Class Template Reference

Wrapper around a search interface with L2 normalization. More...

#include <L2Normalized.hpp>

Inheritance diagram for knncolle::L2NormalizedSearcher< Index_, Float_ >:

Collaboration diagram for knncolle::L2NormalizedSearcher< Index_, Float_ >:

Public Member Functions
	L2NormalizedSearcher (std::unique_ptr< Searcher< Index_, Float_ > > searcher, size_t num_dimensions)
Public Member Functions inherited from knncolle::Searcher< Index_, Float_ >
virtual void	search (Index_ i, Index_ k, std::vector< Index_ > *output_indices, std::vector< Float_ > *output_distances)=0
virtual void	search (const Float_ *query, Index_ k, std::vector< Index_ > *output_indices, std::vector< Float_ > *output_distances)=0
virtual bool	can_search_all () const
virtual Index_	search_all (Index_ i, Float_ distance, std::vector< Index_ > *output_indices, std::vector< Float_ > *output_distances)
virtual Index_	search_all (const Float_ *query, Float_ distance, std::vector< Index_ > *output_indices, std::vector< Float_ > *output_distances)

Detailed Description

template<typename Index_, typename Float_>
class knncolle::L2NormalizedSearcher< Index_, Float_ >

Wrapper around a search interface with L2 normalization.

This applies L2 normalization to each query vector before running search() and search_all(), typically for calculation of cosine distances. Instances of this class are typically constructed with L2NormalizedPrebuilt::initialize().

Template Parameters

Index_	Integer type for the indices. For the output of Builder::build, this is set to MockMatrix::index_type.
Float_	Floating point type for the query data and output distances.

Constructor & Destructor Documentation

L2NormalizedSearcher()

template<typename Index_ , typename Float_ >

knncolle::L2NormalizedSearcher< Index_, Float_ >::L2NormalizedSearcher ( std::unique_ptr< Searcher< Index_, Float_ > > searcher, size_t num_dimensions )

inline

Parameters

searcher	Pointer to a Searcher class for the neighbor search that is to be wrapped.
num_dimensions	Number of dimensions of the data.

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

• knncolle/L2Normalized.hpp