lenskit.knn.user.UserKNNConfig

class lenskit.knn.user.UserKNNConfig

Bases: pydantic.BaseModel

Configuration for ItemKNNScorer.

max_nbrs: pydantic.PositiveInt

The maximum number of neighbors for scoring each item.

min_nbrs: pydantic.PositiveInt = 1

The minimum number of neighbors for scoring each item.

min_sim: pydantic.PositiveFloat = 1e-06

Minimum similarity threshold for considering a neighbor. Must be positive; if less than the smallest 32-bit normal (\(1.175 \times 10^{-38}\)), is clamped to that value.

feedback: lenskit.data.FeedbackType = 'explicit'

The type of input data to use (explicit or implicit). This affects data pre-processing and aggregation.

static clamp_min_sim(sim)

Return type:

float

property explicit: bool

Query whether this is in explicit-feedback mode.

Return type:

bool