class_docstr: A candidate generator provides candidate model configurations to the
  recommender.
class_docstr_tok: ["A","candidate","generator","provides","candidate","model","configurations","to","the","recommender","."]
docstr: Fits the candidate generator on a list of model configurations seen
  during training.
  
  Args:
      configs: The model configurations seen during training.
docstr_tok: ["Fits","the","candidate","generator","on","a","list","of","model","configurations","seen","during","training",".","Args",":","configs",":","The","model","configurations","seen","during","training","."]
code: def fit(self, configs: List[T]) -> None:
      """
      Fits the candidate generator on a list of model configurations seen
      during training.
  
      Args:
          configs: The model configurations seen during training.
      """
  
imports: from abc import ABC, abstractmethod
  from typing import Generic, List, Optional, TypeVar
label_desc: Use image node_id 1 for calling the CandidateGenerator obj's underlying member method code with example usage: obj.fit(configs) without return types