Attention

The vector search and clustering algorithms in RAFT are being migrated to a new library dedicated to vector search called cuVS. We will continue to support the vector search algorithms in RAFT during this move, but will no longer update them after the RAPIDS 24.06 (June) release. We plan to complete the migration by RAPIDS 24.08 (August) release.

Distance#

This page provides C++ class references for the publicly-exposed elements of the raft/distance package. RAFT’s distances have been highly optimized and support a wide assortment of different distance measures.

Distance Types#

#include <raft/distance/distance_types.hpp>

namespace raft::distance

enum raft::distance::DistanceType#

enum to tell how to compute distance

Values:

enumerator L2Expanded#: evaluate as dist_ij = sum(x_ik^2) + sum(y_ij)^2 - 2*sum(x_ik * y_jk)

enumerator L2SqrtExpanded#: same as above, but inside the epilogue, perform square root operation

enumerator CosineExpanded#: cosine distance

enumerator L1#: L1 distance

enumerator L2Unexpanded#: evaluate as dist_ij += (x_ik - y-jk)^2

enumerator L2SqrtUnexpanded#: same as above, but inside the epilogue, perform square root operation

enumerator InnerProduct#: basic inner product

enumerator Linf#: Chebyshev (Linf) distance

enumerator Canberra#: Canberra distance

enumerator LpUnexpanded#: Generalized Minkowski distance

enumerator CorrelationExpanded#: Correlation distance

enumerator JaccardExpanded#: Jaccard distance

enumerator HellingerExpanded#: Hellinger distance

enumerator Haversine#: Haversine distance

enumerator BrayCurtis#: Bray-Curtis distance

enumerator JensenShannon#: Jensen-Shannon distance

enumerator HammingUnexpanded#: Hamming distance

enumerator KLDivergence#: KLDivergence

enumerator RusselRaoExpanded#: RusselRao

enumerator DiceExpanded#: Dice-Sorensen distance

enumerator Precomputed#: Precomputed (special value)

Contents: