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sklearn/linear_model/_stochastic_gradient.py
@@ -962,9 +962,8 @@ class SGDClassifier(BaseSGDClassifier):
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alpha : float, default=0.0001
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Constant that multiplies the regularization term. The higher the
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- value, the stronger the regularization.
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- Also used to compute the learning rate when set to `learning_rate` is
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- set to 'optimal'.
+ value, the stronger the regularization. Also used to compute the
+ learning rate when `learning_rate` is set to 'optimal'.
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Values must be in the range `[0.0, inf)`.
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l1_ratio : float, default=0.15
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