lenskit.knn.user.UserKNNConfig
==============================

.. py:class:: lenskit.knn.user.UserKNNConfig
   

   Bases: :py:obj:`pydantic.BaseModel`


   Configuration for :class:`ItemKNNScorer`.


   .. py:attribute:: max_nbrs
      :type:  pydantic.PositiveInt

      The maximum number of neighbors for scoring each item.


   .. py:attribute:: min_nbrs
      :type:  pydantic.PositiveInt
      :value: 1


      The minimum number of neighbors for scoring each item.


   .. py:attribute:: min_sim
      :type:  pydantic.PositiveFloat
      :value: 1e-06


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


   .. py:attribute:: feedback
      :type:  lenskit.data.FeedbackType
      :value: 'explicit'


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


   .. py:method:: clamp_min_sim(sim)
      :staticmethod:



   .. py:property:: explicit
      :type: bool


      Query whether this is in explicit-feedback mode.