TSNE示例代码有问题，报错

[WithChameleon]

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('<U32') dtype('<U32') dtype('<U32')

[WithChameleon]

error: numpy.core._exceptions._UFuncNoLoopError: ufunc 'multiply' did not contain a loop with signature matching types (dtype('<U32'), dtype('<U32')) -> dtype('<U32')

[iTzAlver]

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, perplexity=1, learning_rate='auto', init='random').fit_transform(X)

It is working for numpy 1.23.5 and scikit-learn 1.2.2.
You must provide a perplexity lower than n_components.