Calculate cosine similarity of two matrices
cosine-similarity, matrix, numpy, python
Solution
You cannot multiply 1x2 matrix by 1x2 matrix. In order to calculate dot product between their rows the second one has to be transposed.
from scipy import linalg, mat, dot
a = mat([-0.711,0.730])
b = mat([-1.099,0.124])
c = dot(a,b.T)/linalg.norm(a)/linalg.norm(b)
Problem
I have defined two matrices like following: ``` from scipy import linalg, mat, dot a = mat([-0.711,0.730]) b = mat([-1.099,0.124]) ``` Now, I want to calculate the cosine similarity of these two matrices. What is the wrong with following code. It gives me an error of `objects are not aligned` ``` c = dot(a,b)/np.linalg.norm(a)/np.linalg.norm(b) ```