class_docstr: NNI tuners/assessors/adivisors accept a `classArgs` parameter in experiment configuration file.
  This ClassArgsValidator interface is used to validate the classArgs section in exeperiment
  configuration file.
docstr: Validate the classArgs configuration in experiment configuration file.
  
  Parameters
  ----------
  kwargs: dict
      kwargs passed to tuner/assessor/advisor constructor
  
  Raises:
      Raise an execption if the kwargs is invalid.
docstr_tok: ["Validate","the","classArgs","configuration","in","experiment","configuration","file",".","Parameters","--","--","--","--","--","kwargs",":","dict","kwargs","passed","to","tuner\/assessor\/advisor","constructor","Raises",":","Raise","an","execption","if","the","kwargs","is","invalid","."]
code: def validate_class_args(self, **kwargs):
      """
      Validate the classArgs configuration in experiment configuration file.
  
      Parameters
      ----------
      kwargs: dict
          kwargs passed to tuner/assessor/advisor constructor
  
      Raises:
          Raise an execption if the kwargs is invalid.
      """
      pass
  
imports: import copy
  from enum import Enum, unique
  from pathlib import Path
  from schema import And
  from .None import parameter_expressions
label_desc: Use image node_id 1 for calling the ClassArgsValidator obj's underlying member method code with example usage: obj.validate_class_args() without return types