autointent.metrics.retrieval.retrieval_ndcg_macro#
- autointent.metrics.retrieval.retrieval_ndcg_macro(query_labels, candidates_labels, k=None)#
Calculate the Normalized Discounted Cumulative Gain (NDCG) at position k for the intersecting labels.
This function calculates NDCG using
retrieval_ndcg()
and computes the macro-averaged score.- Parameters:
query_labels (autointent.metrics.custom_types.LABELS_VALUE_TYPE) – For each query, this list contains its class labels
candidates_labels (autointent.metrics.custom_types.CANDIDATE_TYPE) – For each query, these lists contain class labels of items ranked by a retrieval model (from most to least relevant)
k (int | None) – Number of top items to consider for each query
- Returns:
Score of the retrieval metric
- Return type: