lenskit.funksvd.FunkSVDScorer#

class lenskit.funksvd.FunkSVDScorer(config=None, **kwargs)#

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

FunkSVD explicit-feedback matrix factoriation. FunkSVD is a regularized biased matrix factorization technique trained with featurewise stochastic gradient descent.

See the base class MFPredictor for documentation on the estimated parameters you can extract from a trained model.

Deprecated since version LKPY: This scorer is kept around for historical comparability, but ALS BiasedMF is usually a better option.

Stability:
Caller (see Stability Levels).
Parameters:

  • config (object | None)

  • kwargs (Any)

config: FunkSVDConfig#

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.

bias: lenskit.basic.BiasModel#
users: lenskit.data.Vocabulary#
user_embeddings: lenskit.data.types.NPMatrix#
items: lenskit.data.Vocabulary#
item_embeddings: lenskit.data.types.NPMatrix#
is_trained()#

Query if this component has already been trained.

train(data, options=TrainingOptions())#

Train a FunkSVD model.

Parameters:
__call__(query, items)#

Run the pipeline’s operation and produce a result. This is the key method for components to implement.

Parameters:
Return type:

lenskit.data.ItemList