class_docstr: Manager for generating causal analyses from a dataset.
class_docstr_tok: ["Manager","for","generating","causal","analyses","from","a","dataset","."]
docstr: Get causal data
  :return: List of CausalData objects.
  :rtype: List[CausalData]
docstr_tok: ["Get","causal","data",":","return",":","List","of","CausalData","objects",".",":","rtype",":","List","[","CausalData","]"]
code: def get_data(self):
      """Get causal data
      :return: List of CausalData objects.
      :rtype: List[CausalData]
      """
      return [
          result._get_dashboard_object() for result in self._results
      ]
  
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 12 for calling the CausalManager obj's underlying member method code with example usage: obj.get_data() and returns: unknown