Cosine similarity python

from numpy import dot
from numpy.linalg import norm

def cosine_similarity(list_1, list_2):
  cos_sim = dot(list_1, list_2) / (norm(list_1) * norm(list_2))
  return cos_sim

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

Cosine Similarity numpy

np.inner(a, b) = sum(a[:]*b[:])

Source: numpy.org

Similar codes

0 vote350 views2 answers
Numpy and operator
Python
0 vote353 views1 answer
Unique file name in django
Python
0 vote390 views1 answer
Python cassandra
Python
0 vote380 views1 answer
Values django
Python Django
0 vote357 views1 answer
How to add new column in django
Python
0 vote337 views1 answer
Python list safely pop
Python
-1 vote393 views2 answers
Python dict remove duplicates where items are not the same
Python
20 votes309 views5 answers
Flatten a list of lists python
Python
0 vote411 views2 answers
Django template in views.py
Python
15 votes292 views2 answers
Python copy image to clipboard
Python