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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