autointent.metrics.retrieval_mrr_macro#

autointent.metrics.retrieval_mrr_macro(query_labels, candidates_labels, k=None)#

Calculate the Mean Reciprocal Rank (MRR) at position k for the intersecting labels.

This function calculates MRR using retrieval_mrr() 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:

float

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