class_docstr: Base class for the Naive estimator. Implements functionality common to all Naive models
docstr: Fit a naive model
  :param x: Predictors to use for fitting the data (this will not be used in naive models)
  :param y: Outcome
docstr_tok: ["Fit","a","naive","model",":","param","x",":","Predictors","to","use","for","fitting","the","data","(","this","will","not","be","used","in","naive","models",")",":","param","y",":","Outcome"]
code: def fit(self, x, y, **kwargs):
      """
      Fit a naive model
      :param x: Predictors to use for fitting the data (this will not be used in naive models)
      :param y: Outcome
      """
      self.mean = numpy.mean(y)
      return {}
  
imports: from __future__ import absolute_import
  import inspect
  import logging
  import lore
  from lore.env import require
  import lore.estimators
  from lore.util import timed, before_after_callbacks
  import numpy
label_desc: Use image node_id 2 for calling the Base obj's underlying member method code with example usage: obj.fit(x, y) and returns: dict