ranking

Ranking recommendations metrics.

Functions

calc_ranking_metrics(metrics, merged)

Calculate any ranking metrics (MAP, NDCG and MRR for now).

Classes

MAP(k[, divide_by_k])	Mean Average Precision at k (MAP@k).
MAPFitted(precision_at_k, users, ...)	Container with meta data got from MAP.fit method.
MRR(k)	Mean Reciprocal Rank at k (MRR@k).
NDCG(k[, log_base])	Normalized Discounted Cumulative Gain at k (NDCG@k).
_RankingMetric(k)	Simple classification metric base class.