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

10 votes105 views3 answers
Package in python
Python
1 vote101 views1 answer
Count number of zeros in a number python
Python
17 votes119 views3 answers
Create log in python
Python
0 vote109 views1 answer
How to store in parquet format using pandas
Python
0 vote137 views1 answer
How to update image in django
Python Django
2 votes111 views1 answer
Pandas find top 10 values in column
Python
0 vote144 views1 answer
Sendgrid django smtp
Python Django
28 votes100 views6 answers
Docker compose command not found
Python
0 vote106 views3 answers
“no such column” after adding a field to the model
Python
0 vote99 views2 answers
Def check_zip_code(text): result = re.search(r'\d{5}(?:-\d{4})?', text) return result != None
Python