lenskit.batch.predict

lenskit.batch.predict(pipeline, test, *, n_jobs=None)

Convenience function to batch-generate rating predictions (or other per-item scores) from a pipeline. This is a batch version of lenskit.predict().

Note

If test is just a sequence of IDs, this method will still work, but it will score _all candidate items_ for each of the IDs.

Stability:

Caller (see Stability Levels).

Parameters:

• pipeline (Pipeline)

• test (ItemListCollection[tuple[int | str | bytes | integer[Any] | str_ | bytes_ | object_, ...]] | Mapping[int | str | bytes | integer[Any] | str_ | bytes_ | object_, ItemList] | DataFrame)

• n_jobs (int | None)

Return type:

ItemListCollection[tuple[int | str | bytes | integer[Any] | str_ | bytes_ | object_, …]]