Linear Algebra, Data Science, Applied Machine Learning.
np.linalg.svd. Components obtained from Singular Value Decomposition of a rectangular matrix. U, S, VT = np.linalg.svd(A) print("U: ", U) print("V: ", VT.T) vector = VT[-1] vector/np.min(vector) More information can be found at the documentations