def interpret(self, method_name=None, **kwargs):
"""Interpret the refutation results.
:param method_name: Method used (string) or a list of methods. If None, then the default for the specific refuter is used.
:returns: None
"""
if method_name is None:
method_name = self.refuter.interpret_method
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()
def interpret(self, method_name=None, **kwargs):
"""Interpret the causal estimate.
:param method_name: Method used (string) or a list of methods. If None, then the default for the specific estimator is used.
:param kwargs:: Optional parameters that are directly passed to the interpreter method.
:returns: None
"""
if method_name is None:
method_name = self.estimator.interpret_method
method_name_arr = parse_state(method_name)
for method in method_name_arr:
interpreter = interpreters.get_class_object(method)
interpreter(self, **kwargs).interpret()
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()