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 vote206 views10 answers
Python codes and answers cheat code pdf
Python
1 vote242 views1 answer
Selenium.common.exceptions.ElementNotInteractableException: Message: element not interactable
Python
1 vote226 views1 answer
Chi square test in python
Python
21 votes221 views8 answers
Translator
Python
0 vote226 views1 answer
Crank nicholson scheme python
Python
0 vote242 views2 answers
Operator in django query
Python Django
0 vote212 views2 answers
Wolfram alpha python module
Python
2 votes247 views3 answers
String contains element of list python
Python
1 vote229 views1 answer
Numpy vector multiplication
Python
0 vote217 views1 answer
Python get github file content
Python