lenskit.metrics.ranking.AveragePrecision
========================================

.. py:class:: lenskit.metrics.ranking.AveragePrecision(n = None, *, k = None)
   :canonical: lenskit.metrics.ranking._map.AveragePrecision

   Bases: :py:obj:`lenskit.metrics.ranking._base.ListMetric`, :py:obj:`lenskit.metrics.ranking._base.RankingMetricBase`


   Compute Average Precision (AP) for a single user's recommendations.  This is
   the average of the precision at each relevant item in the ranked list.


   .. py:property:: label

      The metric's default label in output.
      The base implementation returns the class name by default.


   .. py:method:: measure_list(recs, test)

      Compute measurements for a single list.

      :returns:

                - A float for simple metrics
                - Intermediate data for decomposed metrics
                - A dict mapping metric names to values for multi-metric classes