Vector

class matchup.models.algorithms.vector_space.Vector

Bases: matchup.models.model.IterModel

Methods Summary

generate_scores(doc_repr, float], …)	Calculate the similarity between one doc and one query by its representations
run(query, vocabulary)	Principal method that represents IR vector space model.

Methods Documentation

classmethod generate_scores(doc_repr: DefaultDict[str, float], query_repr: DefaultDict[str, float]) → float

Calculate the similarity between one doc and one query by its representations

Parameters:

• doc_repr – doc repr
• query_repr – query repr

Returns:

similarity

run(query: List[matchup.presentation.text.Term], vocabulary: matchup.structure.vocabulary.Vocabulary) → List[matchup.structure.solution.Result]

Principal method that represents IR vector space model.

Parameters:

• query – list of all query terms
• vocabulary – data structure that represents the vocabulary

Returns:

list of solution -> (document, score)