Optimized method for calculating cosine distance in Python

Question

I wrote a method to calculate the cosine distance between two arrays:

def cosine_distance(a, b):
    if len(a) != len(b):
        return False
    numerator = 0
         


        

Answer 1

This is faster for arrays of around 1000+ elements.

from numpy import array
def cosine_distance(a, b):
    a=array(a)
    b=array(b)
    numerator=(a*b).sum()
    denoma=(a*a).sum()
    denomb=(b*b).sum()
    result = 1 - numerator / sqrt(denoma*denomb)
    return result