Scipy or pandas for sparse matrix computations?
After some research I found that both pandas and Scipy have structures to represent sparse matrix efficiently in memory. But none of them have out of box support for compute similarity between vectors like cosine, adjusted cosine, euclidean etc. Scipy support this on dense matrix only. For sparse, Scipy support dot products and others linear algebra basic operations.
I have to compute massive similarity computations between vectors in a sparse matrix. What is currently the best tool, scipy-sparse or pandas, for this task?