lenskit.sklearn.nmf.NMFConfig
=============================

.. py:class:: lenskit.sklearn.nmf.NMFConfig
   

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


   Configuration for :class:`NMFScorer`.
   See the documentation for :func:`sklearn.decomposition.non_negative_factorization`
   for the configuration options.



   .. py:attribute:: beta_loss
      :type:  Literal['frobenius', 'kullback-leibler', 'itakura-saito']
      :value: 'frobenius'



   .. py:attribute:: max_iter
      :type:  pydantic.PositiveInt


   .. py:attribute:: embedding_size
      :type:  pydantic.PositiveInt | None

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


   .. py:attribute:: alpha_W
      :type:  float
      :value: 0.0



   .. py:attribute:: alpha_H
      :type:  float | Literal['same']
      :value: 'same'



   .. py:attribute:: l1_ratio
      :type:  float
      :value: 0.0