Jiahui Huang heiwang1997

heiwang1997 / nn.py

Last active July 20, 2020 05:23

Quick example on nearest neighbour in sklearn

	from sklearn.neighbors import NearestNeighbors
	import numpy as np

	X = np.array([[-1, -1], [-2, -1], [-3, -2], [1, 1], [2, 1], [3, 2]])

	"""
	Build a fast indexing data-structure.
	:param algorithm: ['auto', 'ball_tree', 'kd_tree', 'brute']
	- compared to kd_tree, ball_tree needs more time to build tree, but query fast for high-dim data.
	:param n_neighbors: only effective when using 'kneighbors'

heiwang1997 / cloudSettings

Last active June 3, 2017 08:55

Visual Studio Code Settings Sync Gist

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