class_docstr: Manager for generating causal analyses from a dataset.
class_docstr_tok: ["Manager","for","generating","causal","analyses","from","a","dataset","."]
docstr: Get the name of the causal manager.
  :return: The name of the causal manager.
  :rtype: str
docstr_tok: ["Get","the","name","of","the","causal","manager",".",":","return",":","The","name","of","the","causal","manager",".",":","rtype",":","str"]
code: def name(self):
      """Get the name of the causal manager.
      :return: The name of the causal manager.
      :rtype: str
      """
      return ManagerNames.CAUSAL
  
imports: from pathlib import Path
  from typing import Any, List, Optional, Union
  import numpy
  import pandas
  from econml.solutions.causal_analysis import CausalAnalysis
  from raiutils.exceptions import UserConfigValidationException
  from raiutils.models import ModelTask
  from responsibleai._data_validations import validate_train_test_categories
  from responsibleai._internal.constants import CausalManagerKeys, ListProperties, ManagerNames
  from responsibleai._tools.causal.causal_config import CausalConfig
  from responsibleai._tools.causal.causal_constants import DefaultParams, ModelTypes
  from responsibleai._tools.causal.causal_result import CausalResult
  from responsibleai._tools.shared.state_directory_management import DirectoryManager
  from responsibleai.feature_metadata import FeatureMetadata
  from responsibleai.managers.base_manager import BaseManager
  from responsibleai.utils import _find_features_having_missing_values, _measure_time
label_desc: Use image node_id 13 for calling the CausalManager obj's underlying member method code with example usage: obj.name() and returns: ManagerNames