class_docstr: Function Caller for NN evaluations. 
class_docstr_tok: ["Function","Caller","for","NN","evaluations","."]
docstr: Evaluates the validation score. 
docstr_tok: ["Evaluates","the","validation","score","."]
code: def _eval_validation_score(self, raw_fidel, raw_point, qinfo):
      """Evaluates the validation score."""
      # Design your API here. You can use self.training_params to store anything
      # additional you need.
      raise NotImplementedError(
          "Implement this for specific application."
      )
  
file_path: dragonfly/examples/nas/nn_function_caller.py
imports: from copy import deepcopy
  import numpy
  from time import sleep
  from dragonfly.exd.experiment_caller import CPFunctionCaller
  from dragonfly.exd.exd_core import EVAL_ERROR_CODE
  from dragonfly.utils.reporters import get_reporter
label_desc: Use image node_id 8 for calling the NNFunctionCaller obj's underlying member method code with example usage: obj._eval_validation_score(raw_fidel, raw_point, qinfo) without return types