DOC add link to plot_isolation_forest.py (scikit-learn#26975)

Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Adrin Jalali <adrin.jalali@gmail.com>

Author: 3 people

sklearn/ensemble/_iforest.py

@@ -199,6 +199,9 @@ class IsolationForest(OutlierMixin, BaseBagging):
     >>> clf = IsolationForest(random_state=0).fit(X)
     >>> clf.predict([[0.1], [0], [90]])
     array([ 1,  1, -1])
+
+    For an example of using isolation forest for anomaly detection see
+    :ref:`sphx_glr_auto_examples_ensemble_plot_isolation_forest.py`.
     """
 
     _parameter_constraints: dict = {