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sklearn/linear_model/_ridge.py

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@@ -1037,9 +1037,9 @@ class Ridge(MultiOutputMixin, RegressorMixin, _BaseRidge):
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If an array is passed, penalties are assumed to be specific to the
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targets. Hence they must correspond in number.
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See :ref:`Ridge coefficients as a function of the L2 Regularization
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<sphx_glr_auto_examples_linear_model_plot_ridge_coeffs.py>` for an example
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<sphx_glr_auto_examples_linear_model_plot_ridge_coeffs.py>` for an example
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on how the model coefficients vary with the regularization strength.
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fit_intercept : bool, default=True

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