lenskit.sklearn.svd.BiasedSVDConfig
===================================

.. py:class:: lenskit.sklearn.svd.BiasedSVDConfig
   

   Bases: :py:obj:`lenskit.config.common.EmbeddingSizeMixin`, :py:obj:`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:

   .. code:: python

       class SVDConfig(EmbeddingSizeMixin, BaseModel):
           pass

       cfg = SVDConfig(embedding_size=32)


   .. py:attribute:: embedding_size
      :type:  int

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


   .. py:attribute:: damping
      :type:  lenskit.basic.Damping
      :value: 5



   .. py:attribute:: algorithm
      :type:  Literal['arpack', 'randomized']
      :value: 'randomized'



   .. py:attribute:: n_iter
      :type:  int
      :value: 5