Cosine similarity python 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

0 vote201 views1 answer
Keras image preprocessing
Python
1 vote195 views1 answer
No module named 'filterpy'
Python
0 vote203 views1 answer
Incremental betekenis
Python
0 vote188 views1 answer
Example of Python Inline comments
Python
0 vote183 views2 answers
Numpy index of first true value
Python
0 vote200 views1 answer
Django cleanup settings
Python
0 vote188 views1 answer
Backend not found Request Method: GET Request URL: http://127.0.0.1:8000/oauth/login/google-oauth2/ Raised by: social_django.views.au
Python
4 votes187 views3 answers
Dice simulator python
Python
0 vote178 views1 answer
Jupyter notebook do not show matplotlib text above plot
Python
14 votes204 views5 answers
How to read a excel file in python
Python