Artificial Intelligence, Machine Learning, Data Science, Mathematics, Python.
Well no, NumPy returns the singular values as a vector. We can recreate Σ to be in the more traditional form but it is a bit more involved. >>> sigma = np.zeros(A.shape, S.dtype) >>> sigma.shape (80,40) >>> np.fill_diagonal(sigma, S) Essentially what's happening is that a matrix the same shape as