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sklearn/linear_model/bayes.py
@@ -453,6 +453,10 @@ class ARDRegression(RegressorMixin, LinearModel):
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scores_ : float
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if computed, value of the objective function (to be maximized)
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+ intercept_ : float
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+ Independent term in decision function. Set to 0.0 if
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+ ``fit_intercept = False``.
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+
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Examples
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--------
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>>> from sklearn import linear_model
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