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faiss::IndexRefineFlat Struct Reference

#include <IndexFlat.h>

Inheritance diagram for faiss::IndexRefineFlat:
faiss::Index

Public Member Functions

 IndexRefineFlat (Index *base_index)
 
void train (idx_t n, const float *x) override
 
void add (idx_t n, const float *x) override
 
void reset () override
 removes all elements from the database.
 
void search (idx_t n, const float *x, idx_t k, float *distances, idx_t *labels) const override
 
- Public Member Functions inherited from faiss::Index
 Index (idx_t d=0, MetricType metric=METRIC_INNER_PRODUCT)
 
virtual void add_with_ids (idx_t n, const float *x, const long *xids)
 
virtual void range_search (idx_t n, const float *x, float radius, RangeSearchResult *result) const
 
void assign (idx_t n, const float *x, idx_t *labels, idx_t k=1)
 
virtual long remove_ids (const IDSelector &sel)
 
virtual void reconstruct (idx_t key, float *recons) const
 
virtual void reconstruct_n (idx_t i0, idx_t ni, float *recons) const
 
void compute_residual (const float *x, float *residual, idx_t key) const
 
void display () const
 

Public Attributes

IndexFlat refine_index
 storage for full vectors
 
Indexbase_index
 faster index to pre-select the vectors that should be filtered
 
bool own_fields
 should the base index be deallocated?
 
float k_factor
 
- Public Attributes inherited from faiss::Index
int d
 vector dimension
 
idx_t ntotal
 total nb of indexed vectors
 
bool verbose
 verbosity level
 
bool is_trained
 set if the Index does not require training, or if training is done already
 
MetricType metric_type
 type of metric this index uses for search
 

Additional Inherited Members

- Public Types inherited from faiss::Index
typedef long idx_t
 all indices are this type
 

Detailed Description

Index that queries in a base_index (a fast one) and refines the results with an exact search, hopefully improving the results.

Definition at line 103 of file IndexFlat.h.

Member Function Documentation

void faiss::IndexRefineFlat::add ( idx_t  n,
const float *  x 
)
overridevirtual

Add n vectors of dimension d to the index.

Vectors are implicitly assigned labels ntotal .. ntotal + n - 1 This function slices the input vectors in chuncks smaller than blocksize_add and calls add_core.

Parameters
xinput matrix, size n * d

Implements faiss::Index.

Definition at line 177 of file IndexFlat.cpp.

void faiss::IndexRefineFlat::search ( idx_t  n,
const float *  x,
idx_t  k,
float *  distances,
idx_t labels 
) const
overridevirtual

query n vectors of dimension d to the index.

return at most k vectors. If there are not enough results for a query, the result array is padded with -1s.

Parameters
xinput vectors to search, size n * d
labelsoutput labels of the NNs, size n*k
distancesoutput pairwise distances, size n*k

Implements faiss::Index.

Definition at line 219 of file IndexFlat.cpp.

void faiss::IndexRefineFlat::train ( idx_t  n,
const float *  x 
)
overridevirtual

Perform training on a representative set of vectors

Parameters
nnb of training vectors
xtraining vecors, size n * d

Reimplemented from faiss::Index.

Definition at line 171 of file IndexFlat.cpp.

Member Data Documentation

float faiss::IndexRefineFlat::k_factor

factor between k requested in search and the k requested from the base_index (should be >= 1)

Definition at line 114 of file IndexFlat.h.


The documentation for this struct was generated from the following files: