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 vote218 views1 answer
String list into list pandas
Python
0 vote224 views1 answer
Auto repost bot instagram python
Python
4 votes276 views4 answers
Change python version in conda environment
Python
0 vote218 views1 answer
Python repet x time
Python
0 vote228 views2 answers
Sorted set in python
Python
0 vote240 views1 answer
Error tokenizing data. C error: Calling read(nbytes) on source failed. Try engine='python'.
Python
0 vote244 views2 answers
Install cairo python
Python
0 vote233 views1 answer
How to get the duration of audio python
Python
0 vote274 views1 answer
Django dump previous migrations
Python Django
1 vote234 views1 answer
Print string elements in list python
Python