We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
There was an error while loading. Please reload this page.
1 parent e91dea3 commit 349eacaCopy full SHA for 349eaca
sklearn/linear_model/bayes.py
@@ -81,8 +81,8 @@ class BayesianRidge(LinearModel, RegressorMixin):
81
alpha_ : float
82
estimated precision of the noise.
83
84
- lambda_ : array, shape = (n_features)
85
- estimated precisions of the weights.
+ lambda_ : float
+ estimated precision of the weights.
86
87
scores_ : float
88
if computed, value of the objective function (to be maximized)
0 commit comments