torcharrow.functional.get_score_max

torcharrow.functional.get_score_max(input_ids: ListColumn, matching_ids: ListColumn, matching_id_scores: ListColumn)

返回在matching_id_scores中所有分数的最小值，这些分数对应的id在matching_ids中，并且也在input_ids中。

Parameters:

• input_ids (第一个ID列表) –

• matching_ids (第二个ID列表) –

• matching_ids_scores (scores (weights) of matching_ids) –

示例

>>> import torcharrow as ta
>>> from torcharrow import functional
>>> input_ids = ta.column([[1, 2, 3]])
>>> matching_ids = ta.column([[1,2]])
>>> matching_id_scores = ta.column([[5.0,4.0]])
>>> functional.get_score_min(input_ids, matching_ids, matching_id_scores)
0  5.0
dtype: Float32(nullable=True), length: 1, null_count: 0