lenskit.basic.history.UserTrainingHistoryLookup

class lenskit.basic.history.UserTrainingHistoryLookup(config=None, **kwargs)

Bases: lenskit.pipeline.Component[lenskit.data.ItemList], lenskit.training.Trainable

Look up a user’s history from the training data.

Stability:

Caller (see Stability Levels).

Parameters:

• config (object | None)

• kwargs (Any)

config: LookupConfig

The component configuration object. Component classes that support configuration must redefine this attribute with their specific configuration class type, which can be a Python dataclass or a Pydantic model class.

interactions: lenskit.data.MatrixRelationshipSet | None

is_trained()

Query if this component has already been trained.

train(data, options=TrainingOptions())

Train the model to learn its parameters from a training dataset.

Parameters:

• data (lenskit.data.Dataset) – The training dataset.

• options (lenskit.training.TrainingOptions) – The training options.

__call__(query)

Look up the user’s data from the training history (if needed), and ensure a fully-populated RecQuery.

Parameters:

query (lenskit.data.QueryInput)

Return type:

lenskit.data.RecQuery