DOC Fix default value in RandomizedLasso (scikit-learn#8455)

MarcoFalke · Joan Massich · commit 8db2bec62385 · 2017-04-26T10:57:15.000+02:00
diff --git a/sklearn/linear_model/randomized_l1.py b/sklearn/linear_model/randomized_l1.py
@@ -213,7 +213,7 @@ class RandomizedLasso(BaseRandomizedLinearModel):
     verbose : boolean or integer, optional
         Sets the verbosity amount
 
-    normalize : boolean, optional, default False
+    normalize : boolean, optional, default True
         If True, the regressors X will be normalized before regression.
         This parameter is ignored when `fit_intercept` is set to False.
         When the regressors are normalized, note that this makes the
