knncolle
Collection of KNN methods in C++
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Wrapper around a prebuilt index with L2 normalization. More...
#include <L2Normalized.hpp>
Public Member Functions | |
L2NormalizedPrebuilt (std::unique_ptr< Prebuilt< Index_, Normalized_, Distance_ > > prebuilt) | |
std::unique_ptr< Searcher< Index_, Data_, Distance_ > > | initialize () const |
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virtual Index_ | num_observations () const =0 |
virtual std::size_t | num_dimensions () const =0 |
Wrapper around a prebuilt index with L2 normalization.
This class's unique_raw()
method creates a Searcher
instance that L2-normalizes each query vector, typically for calculation of cosine distances. Instances of this class are typically constructed with L2NormalizedBuilder::unique_raw()
.
Index_ | Integer type for the indices. |
Data_ | Floating-point type for the input and query data. |
Distance_ | Floating-point type for the distances. |
Normalized_ | Floating-point type for the L2-normalized data. |
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inline |
prebuilt | Pointer to a Prebuilt instance for the neighbor search that is to be wrapped. |
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inlinevirtual |
Creates a L2NormalizedSearcher
instance.
Implements knncolle::Prebuilt< Index_, Data_, Distance_ >.