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| IndexFlatIP (idx_t d) |
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| IndexFlat (idx_t d, MetricType metric=METRIC_INNER_PRODUCT) |
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| void | add (idx_t n, const float *x) override |
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void | reset () override |
| | removes all elements from the database.
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| void | search (idx_t n, const float *x, idx_t k, float *distances, idx_t *labels) const override |
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| void | range_search (idx_t n, const float *x, float radius, RangeSearchResult *result) const override |
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| void | reconstruct (idx_t key, float *recons) const override |
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| void | compute_distance_subset (idx_t n, const float *x, idx_t k, float *distances, const idx_t *labels) const |
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| long | remove_ids (const IDSelector &sel) override |
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| Index (idx_t d=0, MetricType metric=METRIC_INNER_PRODUCT) |
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| virtual void | train (idx_t n, const float *x) |
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| virtual void | add_with_ids (idx_t n, const float *x, const long *xids) |
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| void | assign (idx_t n, const float *x, idx_t *labels, idx_t k=1) |
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| virtual void | reconstruct_n (idx_t i0, idx_t ni, float *recons) const |
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| void | compute_residual (const float *x, float *residual, idx_t key) const |
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| void | display () const |
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typedef long | idx_t |
| | all indices are this type
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std::vector< float > | xb |
| | database vectors, size ntotal * d
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int | d |
| | vector dimension
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idx_t | ntotal |
| | total nb of indexed vectors
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bool | verbose |
| | verbosity level
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bool | is_trained |
| | set if the Index does not require training, or if training is done already
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MetricType | metric_type |
| | type of metric this index uses for search
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Definition at line 73 of file IndexFlat.h.
The documentation for this struct was generated from the following file: