from sklearn.neighbors import NearestNeighbors
import numpy as np
X = np.array([[1,0], [0,0], [0,1]])
neigh = NearestNeighbors(algorithm='brute',metric_params={'p':0.5})
neigh.fit(X)
neigh.radius_neighbors(X[0].reshape(1,-1), radius=4, return_distance=False)

from sklearn.neighbors import NearestNeighbors
from sklearn.datasets import load_iris
X = load_iris()['data']
neigh = NearestNeighbors(algorithm='brute',metric_params={'p':0.5})
neigh.fit(X)
neigh.radius_neighbors(X[0].reshape(1,-1), radius=4, return_distance=False)

File sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.pyx:110, in sklearn.metrics._pairwise_distances_reduction._radius_neighbors.RadiusNeighbors64.compute()

File sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.pyx:87, in sklearn.metrics._pairwise_distances_reduction._datasets_pair.DatasetsPair64.get_for()

File sklearn/metrics/_dist_metrics.pyx:285, in sklearn.metrics._dist_metrics.DistanceMetric.get_metric()

File sklearn/metrics/_dist_metrics.pyx:1252, in sklearn.metrics._dist_metrics.MinkowskiDistance.__init__()

ValueError: p must be greater than 1