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  1. clf = NearestNeighbors(n_neighbors=1)
  2. clf.fit(arr1, arr2)
  3.  
  4. fit(self, X[, y]) Fit the model using X as training data
  5.  
  6. neigh = NearestNeighbors(2, 0.4)
  7. neigh.fit(samples)
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