Scipy cosine similarity

Cosine similarity python numpy

from scipy import spatial

dataSetI = [3, 45, 7, 2]
dataSetII = [2, 54, 13, 15]
result = 1 - spatial.distance.cosine(dataSetI, dataSetII)

Source: stackoverflow.com

Scipy cosine similarity

from scipy.spatial import distance

distance.cosine([1, 0, 0], [0, 1, 0])
>>> 1.0

distance.cosine([100, 0, 0], [0, 1, 0])
>>> 1.0

distance.cosine([1, 1, 0], [0, 1, 0])
>>> 0.29289321881345254

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