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 vote365 views1 answer
Python format decimal list
Python
0 vote348 views1 answer
Python http request params
Python
0 vote314 views1 answer
How to log errors while debug is false in django
Python
0 vote319 views1 answer
Python web app with redis github
Python
1 vote384 views1 answer
Python - removeempy space in a cell
Python
0 vote342 views1 answer
Python login to O365
Python
0 vote356 views1 answer
How to keep old content when using write in python
Python
0 vote327 views1 answer
Python program to remove newline characters from a file
Python
0 vote317 views1 answer
Prints out the schema in the tree format
Python
9 votes341 views3 answers
Python array from 1 to n
Python