set_ef(ef)- sets the query time accuracy/speed trade-off, defined by theefparameter (ALGO_PARAMS.md). Note that the parameter is currently not saved along with the index, so you need to set it manually after loading. knn_query(data, k = 1, num_threads = -1)make a batch query fo...
(50)# ef should always be > k# Query dataset, k - number of the closest elements (returns 2 numpy arrays)labels,distances=p.knn_query(data,k=1)# Index objects support pickling# WARNING: serialization via pickle.dumps(p) or p.__getstate__() is NOT thread-safe with p.add_items ...
distances=p.knn_query(data1,k=1)print("Recall for the first batch:",np.mean(labels.reshape(-1)==np.arange(len(data1))),"\n")# Serializing and deleting the index:index_path='first_half.bin'print("Saving index
p.add_items(data1)# Query the elements for themselves and measure recall:labels, distances = p.knn_query(data1, k=1)print("Recall for the first batch:", np.mean(labels.reshape(-1) == np.arange(len(data1))),"\n")# Serializing and deleting the index:index_path='first_half.bin'p...
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(constvoid*,size_t,BaseFilterFunctor*isIdAllowed=nullptr)const=0;// Return k nearest neighbor in the order of closer fistvirtualstd::vector<std::pair<dist_t,labeltype>>searchKnnCloserFirst(constvoid*query_data,size_tk,BaseFilterFunctor*isIdAllowed=nullptr)const;virtualvoidsaveIndex(conststd::...
searchKnn(const void *query_data, size_t k, BaseFilterFunctor* isIdAllowed = nullptr) const {std::priority_queue<std::pair<dist_t, labeltype >> result; if (cur_element_count == 0) return result;tableint currObj = enterpoint_node_; dist_t curdist = fstdistfunc_(query_data, getDat...
parameter.constlabels=index.addItems(vectors,true);// Now you can search the indexconstresult1=index.searchKnn(vectors[10],10,undefined);// You can also search the index with a label filterconstlabelFilter=(label:number)=>{returnlabel>=10&&label<20;}constresult2=index.searchKnn(testVector...
labels, distances = p.knn_query(data1, k=1):对数据中的每个元素进行查询,找到与其最近的邻居,返回邻居的标签和距离。 保持与加载索引 代码语言:javascript 代码运行次数:0 复制 Cloud Studio代码运行 # Serializing and deleting the index:index_path='first_half.bin'print("Saving index to '%s'"%index...
knn_query(data, k=1) print("Recall for two batches:", np.mean(labels.reshape(-1) == np.arange(len(data))), "\n") Bindings installation apt-get install -y python-setuptools python-pip pip3 install pybind11 numpy setuptools cd python_bindings python3 setup.py install Other ...