DOC add BaggingClassifier Examples (scikit-learn#14923)

JesperDramsch · rth · commit c6b5eb204d78 · 2019-10-07T14:30:14.000+02:00
diff --git a/sklearn/ensemble/bagging.py b/sklearn/ensemble/bagging.py
@@ -541,6 +541,22 @@ class BaggingClassifier(ClassifierMixin, BaseBagging):
         `oob_decision_function_` might contain NaN. This attribute exists
         only when ``oob_score`` is True.
 
+    Examples
+    --------
+    >>> from sklearn.svm import SVC
+    >>> from sklearn.ensemble import BaggingClassifier
+    >>> from sklearn.datasets import make_classification
+    >>> X, y = make_classification(n_samples=1000, n_features=4,
+    ...                            n_informative=2, n_redundant=0,
+    ...                            random_state=0, shuffle=False)
+    >>> clf = BaggingClassifier(n_estimators=100, random_state=0).fit(X, y)
+    >>> clf.predict([[0, 0, 0, 0]])
+    array([1])
+    >>> clf = BaggingClassifier(base_estimator=SVC(),
+    ...                         n_estimators=100, random_state=0).fit(X, y)
+    >>> clf.predict([[0, 0, 0, 0]])
+    array([1])
+
     References
     ----------
 
