torcharrow.functional.get_jaccard_similarity

torcharrow.functional.get_jaccard_similarity(input_ids: ListColumn, matching_ids: ListColumn)

Return the jaccard_similarity between input_ids and matching_ids. The jaccard similarity is |input_ids.intersect(matching_ids)|/|input_ids.union(matching_ids)|

Parameters:

• input_ids (First list of ids) –

• matching_ids (Second list of ids) –

Examples

>>> import torcharrow as ta
>>> from torcharrow import functional
>>> input_ids = ta.column([[1, 1, 2, 3],[5,8],[13]])
>>> matching_ids = ta.column([[1,2,3],[2,3],[13,13,13,13,13]])
>>> functional.get_jaccard_similarity(input_ids, matching_ids)
0  0.75
1  0
2  0.2
dtype: Float32(nullable=True), length: 3, null_count: 0