class_docstr: Function Caller for NN evaluations. 
class_docstr_tok: ["Function","Caller","for","NN","evaluations","."]
docstr: Returns True if Multi-fidelity. 
docstr_tok: ["Returns","True","if","Multi-fidelity","."]
code: def is_mf(cls):
      """Returns True if Multi-fidelity."""
      return True
  
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 2 for calling the NNFunctionCaller obj's underlying member method code with example usage: obj.is_mf(cls) and returns: True