DOC Fixes lof example for numpydoc to parse
@@ -144,8 +144,8 @@ class LocalOutlierFactor(NeighborsBase, KNeighborsMixin, UnsupervisedMixin,
case, the offset is defined in such a way we obtain the expected
number of outliers in training.
- Example
- -------
+ Examples
+ --------
>>> import numpy as np
>>> from sklearn.neighbors import LocalOutlierFactor
>>> X = [[-1.1], [0.2], [101.1], [0.3]]
