docstr: At this point, the predictor has already been trained, but this
  has to be called to setup some things in the nonconformist backend 
docstr_tok: ["At","this","point",",","the","predictor","has","already","been","trained",",","but","this","has","to","be","called","to","setup","some","things","in","the","nonconformist","backend"]
code: def fit(self, x=None, y=None):
      """At this point, the predictor has already been trained, but this
      has to be called to setup some things in the nonconformist backend
      """
      pass
  
imports: import abc
  from typing import Dict
  import numpy
  from sklearn.base import BaseEstimator
  from lightwood.analysis.nc.util import t_softmax
label_desc: Use image node_id 2 for calling the CachedClassifierAdapter obj's underlying member method code with example usage: obj.fit(x, y) without return types