poprox_recommender.components.diversifiers.pfar

Functions

pfar_diversification(relevance_scores, ...)

Classes

PFARConfig(*[, lambda_, tau, num_slots])
PFARDiversifier([config])

class poprox_recommender.components.diversifiers.pfar.PFARConfig(*, lambda_=1.0, tau=None, num_slots=10)

Bases: BaseModel

Parameters:

• lambda_ (float)

• tau (float | None)

• num_slots (int)

model_config: ClassVar[ConfigDict] = {}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

class poprox_recommender.components.diversifiers.pfar.PFARDiversifier(config=None, **kwargs)

Bases: Component

Parameters:

• config (PFARConfig)

• kwargs (Any)