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faiss::PolysemousTraining Struct Reference

optimizes the order of indices in a ProductQuantizer More...

`#include <PolysemousTraining.h>`

Inheritance diagram for faiss::PolysemousTraining:

## 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

## Detailed Description

optimizes the order of indices in a ProductQuantizer

Definition at line 125 of file PolysemousTraining.h.

## Member Enumeration Documentation

enum faiss::PolysemousTraining::Optimization_type_t

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.

## Member Function Documentation

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.

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

- /data/users/matthijs/github_faiss/faiss/PolysemousTraining.h
- /data/users/matthijs/github_faiss/faiss/PolysemousTraining.cpp