class_docstr: Main class for storing the causal model state.
docstr: Interpret the causal model.
  
  :param method_name: method used for interpreting the model. If None,
                      then default interpreter is chosen that describes the model summary and shows the associated causal graph.
  :param kwargs:: Optional parameters that are directly passed to the interpreter method.
  
  :returns: None
docstr_tok: ["Interpret","the","causal","model",".",":","param","method_name",":","method","used","for","interpreting","the","model",".","If","None",",","then","default","interpreter","is","chosen","that","describes","the","model","summary","and","shows","the","associated","causal","graph",".",":","param","kwargs",":",":","Optional","parameters","that","are","directly","passed","to","the","interpreter","method",".",":","returns",":","None"]
code: def interpret(self, method_name=None, **kwargs):
      """Interpret the causal model.
  
      :param method_name: method used for interpreting the model. If None,
                          then default interpreter is chosen that describes the model summary and shows the associated causal graph.
      :param kwargs:: Optional parameters that are directly passed to the interpreter method.
  
      :returns: None
  
      """
      if method_name is None:
          self.summary(print_to_stdout=True)
          self.view_model()
          return
  
      method_name_arr = parse_state(method_name)
      import dowhy.interpreters as interpreters
  
      for method in method_name_arr:
          interpreter = interpreters.get_class_object(method)
          interpreter(self, **kwargs).interpret(self._data)
  
imports: import logging
  import typing
  import warnings
  from itertools import combinations
  from sympy import init_printing
  import dowhy.causal_estimators
  import dowhy.causal_refuters
  import dowhy.graph_learners
  from dowhy.causal_estimator import CausalEstimate, estimate_effect
  from dowhy.causal_graph import CausalGraph
  from dowhy.causal_identifier import AutoIdentifier, BackdoorAdjustment, IDIdentifier
  from dowhy.causal_identifier.identify_effect import EstimandType
  from dowhy.causal_refuters.graph_refuter import GraphRefuter
  from dowhy.utils.api import parse_state
label_desc: Use image node_id 13 for calling the CausalModel obj's underlying member method code with example usage: obj.interpret(method_name) without return types