Locality-sensitive hashing to implement K nearesr neighbors fast.
Project description
HasedKNN
LSH based KNN inspired from LSH Attention (Reformer: The Efficient Transformer)
Last Stable Release
$ pip install hashedknn
Usage example
From a jupyter notebook run
import HashedKNN
# Fetch dataset
from sklearn.datasets import fetch_openml
X, y = fetch_openml('mnist_784', version=1, return_X_y=True)
# Run LSH based KNN
knn = HasedKNN(bucket_size=8, number_of_universes=20)
# Fit
knn.fit(X)
# Find ID's of 10 nearest neighbors
id = knn.find(vectorIdx=10, corpus=X, k=10)
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