I am vectorizing around 12 text features individually using glove vectors I am having these 12 csr matrices in a list l
is there a way to stack them all without manually passing each one to hstack function
np.hstack(l[0],l[1],.....,l[11])
please suggest alternative to this
Your link is to the sparse.hstack
. That takes a sequence, a list, of sparse matrices. That's what your l
is.
newmat = sparse.hstack(l)
The np stack functions also take a list, but shouldn't be used here,