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Another typo
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doc/modules/linear_model.rst

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@@ -601,7 +601,7 @@ remaining hyperparameters are the parameters of the gamma priors over
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*non-informative*. The parameters are estimated by maximizing the *marginal
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log likelihood*.
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By default :math:`\alpha_1 = \alpha_2 = \lambda_1 = \lambda_2 = 1.e^{-6}`.
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By default :math:`\alpha_1 = \alpha_2 = \lambda_1 = \lambda_2 = 10^{-6}`.
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.. figure:: ../auto_examples/linear_model/images/sphx_glr_plot_bayesian_ridge_001.png

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