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 vote288 views1 answer
Function that return a lenght of list
Python
2 votes310 views1 answer
Change image resolution pillow
Python
0 vote325 views1 answer
Python parser txt to excel
Python
7 votes317 views3 answers
Prettytable python
Python
41 votes341 views5 answers
.replace python
Python
8 votes346 views2 answers
How to check whether input is string or not
Python
0 vote329 views1 answer
TypeError: unsupported operand type(s) for +: 'dict' and 'dict'
Python
0 vote298 views1 answer
Python tupel from string
Python
0 vote317 views1 answer
How to show Screen keyboard ubuntu with python
Python
1 vote388 views1 answer
Flask blueprints
Python Flask