scikit-learn
diff --git a/‎sklearn/neighbors/_lof.py
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+1-1Lines changed: 1 addition & 1 deletion b/‎sklearn/neighbors/_lof.py
Copy file name to clipboardExpand all lines: sklearn/neighbors/_lof.py
+1-1Lines changed: 1 addition & 1 deletion
@@ -114,7 +114,7 @@ class LocalOutlierFactor(KNeighborsMixin,
         By default, LocalOutlierFactor is only meant to be used for outlier
         detection (novelty=False). Set novelty to True if you want to use
         LocalOutlierFactor for novelty detection. In this case be aware that
-        that you should only use predict, decision_function and score_samples
+        you should only use predict, decision_function and score_samples
         on new unseen data and not on the training set.
 
         .. versionadded:: 0.20