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@KhyatiMahendru
Created July 23, 2019 05:55
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import numpy as np
from sklearn.utils.extmath import randomized_svd
A = np.array([[-1, 2, 0], [2, 0, -2], [0, -2, 1]])
u, s, vt = randomized_svd(A, n_components = 2)
print("Left Singular Vectors:")
print(u)
print("Singular Values:")
print(np.diag(s))
print("Right Singular Vectors:")
print(vt)
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