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filename

multilayer_perceptron_classifier.py

from sklearn.neural_network import MLPClassifier⏎
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X = [[0.0, 0.0], [1.0, 1.0], [1.0, 0.0], [0.0, 1.0]]⏎
y = [0, 1, 0, 0]⏎
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clf = MLPClassifier(⏎
    solver="lbfgs", alpha=1e-5, hidden_layer_sizes=(5, 2), random_state=1⏎
)⏎
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clf.fit(X, y)⏎
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test = [[0.0, 0.0], [0.0, 1.0], [1.0, 1.0]]⏎
Y = clf.predict(test)⏎
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def wrapper(Y):⏎
    """⏎
    >>> wrapper(Y)⏎
    [0, 0, 1]⏎
    """⏎
    return list(Y)⏎
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if __name__ == "__main__":⏎
    import doctest⏎
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    doctest.testmod()⏎