optimizes the order of indices in a ProductQuantizer More...
#include <PolysemousTraining.h>
Public Types | |
| enum | Optimization_type_t { OT_None, OT_ReproduceDistances_affine, OT_Ranking_weighted_diff } |
Public Member Functions | |
| void | optimize_pq_for_hamming (ProductQuantizer &pq, size_t n, const float *x) const |
| void | optimize_ranking (ProductQuantizer &pq, size_t n, const float *x) const |
| called by optimize_pq_for_hamming | |
| void | optimize_reproduce_distances (ProductQuantizer &pq) const |
| called by optimize_pq_for_hamming | |
Public Attributes | |
| Optimization_type_t | optimization_type |
| int | ntrain_permutation |
| double | dis_weight_factor |
| std::string | log_pattern |
Public Attributes inherited from faiss::SimulatedAnnealingParameters | |
| double | init_temperature |
| double | temperature_decay |
| int | n_iter |
| int | n_redo |
| int | seed |
| int | verbose |
| bool | only_bit_flips |
| bool | init_random |
optimizes the order of indices in a ProductQuantizer
Definition at line 125 of file PolysemousTraining.h.
| Enumerator | |
|---|---|
| OT_ReproduceDistances_affine |
default |
| OT_Ranking_weighted_diff |
same as _2, but use rank of y+ - rank of y- |
Definition at line 127 of file PolysemousTraining.h.
| void faiss::PolysemousTraining::optimize_pq_for_hamming | ( | ProductQuantizer & | pq, |
| size_t | n, | ||
| const float * | x | ||
| ) | const |
reorder the centroids so that the Hamming distace becomes a good approximation of the SDC distance (called by train)
Definition at line 933 of file PolysemousTraining.cpp.
1.8.5