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Hobson Lane
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doc/modules/linear_model.rst

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@@ -1243,7 +1243,7 @@ This way, we can solve the XOR problem with a linear classifier::
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[1, 1, 1, 1]])
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>>> clf = Perceptron(fit_intercept=False, n_iter=10, shuffle=False).fit(X, y)
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And the classifier "predictions" are perfect
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And the classifier "predictions" are perfect::
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>>> clf.predict(X)
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array([0, 1, 1, 0])

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