DOC add missing attributes to LinearSVR and LinearSVC
@@ -111,6 +111,9 @@ class LinearSVC(BaseEstimator, LinearClassifierMixin,
intercept_ : array, shape = [1] if n_classes == 2 else [n_classes]
Constants in decision function.
+ n_iter_ : int
+ Maximum number of iterations run across all classes.
+
Examples
--------
>>> from sklearn.svm import LinearSVC
@@ -321,6 +324,9 @@ class LinearSVR(LinearModel, RegressorMixin):
intercept_ : array, shape = [1] if n_classes == 2 else [n_classes]
Constants in decision function.
+ n_iter_ : int
+ Maximum number of iterations run across all classes.
+
Examples
--------
>>> from sklearn.svm import LinearSVR
