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3 changes: 2 additions & 1 deletion doc/modules/outlier_detection.rst
Original file line number Diff line number Diff line change
Expand Up @@ -411,7 +411,8 @@ Note that ``fit_predict`` is not available in this case to avoid inconsistencies
The scores of abnormality of the training samples are always accessible
through the ``negative_outlier_factor_`` attribute.

Novelty detection with Local Outlier Factor is illustrated below.
Novelty detection with :class:`neighbors.LocalOutlierFactor` is illustrated below
(see :ref:`sphx_glr_auto_examples_neighbors_plot_lof_novelty_detection.py`).

.. figure:: ../auto_examples/neighbors/images/sphx_glr_plot_lof_novelty_detection_001.png
:target: ../auto_examples/neighbors/plot_lof_novelty_detection.html
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