class_docstr: Result of causal analysis.
class_docstr_tok: ["Result","of","causal","analysis","."]
code: def _whatif(self, X, X_feature_new, feature_name, y, alpha=0.1):
      return self.causal_analysis.whatif(
          X, X_feature_new, feature_name, y, alpha=alpha
      )
  
imports: import json
  import re
  import uuid
  from pathlib import Path
  from typing import Any, List, Optional, Tuple, Union
  import pandas
  import semver
  from responsibleai._interfaces import CausalConfig
  from responsibleai._interfaces import CausalData, CausalPolicy, CausalPolicyGains, CausalPolicyTreeInternal, CausalPolicyTreeLeaf, ComparisonTypes
  from responsibleai._internal.constants import FileFormats, SerializationAttributes
  from responsibleai._tools.causal.causal_config import CausalConfig
  from responsibleai._tools.causal.causal_constants import ResultAttributes
  from responsibleai._tools.shared.base_result import BaseResult
  from responsibleai._tools.shared.versions import CausalVersions
label_desc: Use image node_id 5 for calling the CausalResult obj's underlying member method code with example usage: obj._whatif(X, X_feature_new, feature_name, y, alpha) and returns: self