lenskit.pipeline.topn_pipeline

lenskit.pipeline.topn_pipeline(scorer, config=None, *, predicts_ratings=False, n=None, name=None)

Create a pipeline that produces top-N recommendations using a scoring model.

Stability:

Caller (see Stability Levels).

Parameters:

• scorer (Component | ComponentConstructor) – The scorer to use in the pipeline (it will added with the component name scorer, see Component Names).

• predicts_ratings (bool | Literal['raw']) – If True, make set up to predict ratings (rating-predictor), using scorer with a fallback of BiasScorer; if "raw", use scorer directly with no fallback.

• n (int | None) – The recommendation list length to configure in the pipeline.

• name (str | None) – The pipeline name.

• config (object | None)

Return type:

Pipeline