lenskit.sklearn.svd.BiasedSVDConfig#

classlenskit.sklearn.svd.BiasedSVDConfig#

Bases: lenskit.config.common.EmbeddingSizeMixin, pydantic.BaseModel

Mixin for configuring embedding sizes (# of latent dimensions).

Component configuration classes can extend this class to inherit a standardized definition of an embedding size, along with useful behavior like configuring with base-2 logs.

Example usage:

classSVDConfig(EmbeddingSizeMixin, BaseModel):
 pass
cfg = SVDConfig(embedding_size=32)
embedding_size:int #

The dimension of user and item embeddings (number of latent features to learn).

damping:lenskit.basic.Damping =5#
algorithm:Literal['arpack','randomized']='randomized'#
n_iter:int =5#