Cosine Similarity numpy

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

2 votes223 views2 answers
Python longest list in list
Python
30 votes220 views2 answers
How do i limit decimals to only two decimals in python
Python
2 votes164 views1 answer
Check for missing dates pandas with hours
Python
1 vote234 views1 answer
Get current site django
Python Django
55 votes202 views3 answers
Python read values from file
Python
1 vote264 views1 answer
Django how to set a navbar active
Python
0 vote232 views1 answer
Flask request post with json
Python Flask
1 vote271 views1 answer
User agent for python
Python
2 votes202 views2 answers
Fibonacci using function in python
Python
-1 vote230 views1 answer
Combination of 1 2 3 4 5 python
Python