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Copy file name to clipboardExpand all lines: README.md
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@@ -25,7 +25,33 @@ Note that inner product is not a metric. An element can be closer to some other
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For other spaces use the nmslib library https://github.com/nmslib/nmslib.
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#### short API description
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*```hnswlib.Index(space, dim)``` creates a non-initalized index an HNSW in space ```space``` with integer dimension ```dim```.
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Index methods:
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*```init_index(max_elements, ef_construction = 200, M = 16, random_seed = 100)``` initalizes the index from with no elements.
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*```max_elements``` defines the maximum number of elements that can be stored in the structure(can be increased/shrunk via saving/loading).
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*```ef_construction``` defines a construcion time/accuracy tradeoff (see [ALGO_PARAMS.md](ALGO_PARAMS.md)).
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*```M``` defines tha maximum number of outgoing connections in the graph ([ALGO_PARAMS.md](ALGO_PARAMS.md)).
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*```add_items(data, data_labels, num_threads = -1)``` - inserts the ```data```(numpy array of vectors, shape:```N*dim```) into the structure.
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*```labels``` is an optional N-size numpy array of integer labels for all elements in ```data```.
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*```num_threads``` sets the number of cpu threads to use (-1 means use default).
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*```set_ef(ef)``` - sets the query time accuracy/speed tradeoff, defined by the ```ef``` parameter (
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[ALGO_PARAMS.md](ALGO_PARAMS.md)).
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*```knn_query(data, k = 1, num_threads = -1)``` make a batch query for ```k``` closests elements for each element of the
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*```data``` (shape:```N*dim```). Returns a numpy array of (shape:```N*k```).
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*```num_threads``` sets the number of cpu threads to use (-1 means use default).
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*```load_index(path_to_index, max_elements = 0)``` loads the index from persistence to the unintialized index.
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*```max_elements```(optional) resets the maximum number of elements in the structure.
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*```save_index(path_to_index)``` saves the index from persistence.
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*```set_num_threads(num_threads)``` set the defualt number of cpu threads used during data insertion/querying.
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*```get_items(ids)``` - returns a numpy array (shape:```N*dim```) of vectors that have integer identifiers specified in ```ids``` numpy vector (shape:```N```).
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*```get_ids_list()``` - returns a list of all element ids.
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