lenskit.batch.recommend

lenskit.batch.recommend(pipeline, queries, n=None, *, n_jobs=None, profiler=None, users=None)

Convenience function to batch-generate recommendations from a pipeline. This is a batch version of lenskit.recommend(), and is a convenience wrapper around using a BatchPipelineRunner() to generate recommendations.

See also

BatchPipelineRunner.run() for details on the arguments, and Batch Queries for details on the valid inputs for queries.

Parameters:

• queries (Iterable[RecQuery] | Iterable[tuple[RecQuery, ItemList]] | Iterable[int | str | bytes | integer[Any] | str_ | bytes_ | object_ | tuple[int | str | bytes | integer[Any] | str_ | bytes_ | object_, ...]] | ItemListCollection[tuple[int | str | bytes | integer[Any] | str_ | bytes_ | object_, ...]] | Mapping[int | str | bytes | integer[Any] | str_ | bytes_ | object_, ItemList] | DataFrame) – The request queries.

• pipeline (Pipeline)

• n (int | None)

• n_jobs (int | Literal['ray'] | None)

• profiler (PipelineProfiler | None)

Stability:

Caller (see Stability Levels).

Return type:

ItemListCollection[UserIDKey]