lenskit.metrics.ranking.AveragePrecision#

class lenskit.metrics.ranking.AveragePrecision(n=None, *, k=None)#

Bases: lenskit.metrics.ranking._base.ListMetric, 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.

Parameters:

  • n (int | None)

  • k (int | None)

property label#

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

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

Parameters:
Return type:

float