TSNE示例代码有问题，报错

import numpy as np
from sklearn.manifold import TSNE
X = np.array([[0, 0, 0], [0, 1, 1], [1, 0, 1], [1, 1, 1]])
X_embedded = TSNE(n_components=2, learning_rate='auto', init='random').fit_transform(X)

error：TypeError: ufunc 'multiply' did not contain a loop with signature matching types dtype('

Reproduce the provided TSNE example using the stated NumPy and scikit-learn imports, then locate the corresponding example in the documentation. Identify why it raises the reported TypeError and update the example so it runs successfully, verifying the corrected behavior.

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