class_docstr: Wrapper class for estimators from the causalml library.
  
  Supports additional parameters as listed below. For specific
  parameters of each estimator, refer to the CausalML docs.
class_docstr_tok: ["Wrapper","class","for","estimators","from","the","causalml","library",".","Supports","additional","parameters","as","listed","below",".","For","specific","parameters","of","each","estimator",",","refer","to","the","CausalML","docs","."]
code: def _get_causalml_class_object(
      self, module_method_name, *args, **kwargs
  ):
      try:
          (module_name, _, class_name) = module_method_name.rpartition(
              "."
          )
          estimator_module = import_module(module_name)
          estimator_class = getattr(estimator_module, class_name)
  
      except (AttributeError, AssertionError, ImportError):
          raise ImportError(
              "Error loading {}.{}. Double-check the method name and ensure that all causalml dependencies are installed.".format(
                  module_name, class_name
              )
          )
      return estimator_class
  
file_path: dowhy/dowhy/causal_estimators/causalml.py
imports: import inspect
  import logging
  from importlib import import_module
  from typing import Any, List, Optional, Protocol, Union
  from warnings import warn
  import pandas
  from dowhy.causal_estimator import CausalEstimate, CausalEstimator
  from dowhy.causal_identifier import IdentifiedEstimand
label_desc: Use image node_id 3 for calling the Causalml obj's underlying member method code with example usage: obj._get_causalml_class_object(module_method_name) and returns: estimator_class