code: def _predict_overlap_support(self, X):
      self._check_is_fitted()
      if self._overlap_only:
          return self.RS_overlap_estimator.predict(X)  # type: ignore
  
      elif self._support_only:
          return self.RS_support_estimator.predict(X)  # type: ignore
      else:
          supp_ind = self.RS_support_estimator.predict(X)  # type: ignore
          overlap_ind = self.RS_overlap_estimator.predict(X)  # type: ignore
          return supp_ind * overlap_ind
  
imports: from dataclasses import asdict, dataclass
  from typing import Dict, List, Optional, Union
  import numpy
  import pandas
  from sklearn.base import BaseEstimator
  from sklearn.ensemble import RandomForestClassifier
  from sklearn.model_selection import GridSearchCV, cross_val_predict
  from dowhy.causal_refuters.overrule.ruleset import BCSRulesetEstimator
  from dowhy.causal_refuters.overrule.utils import fatom
label_desc: Use image node_id 4 for calling the OverruleAnalyzer obj's underlying member method code with example usage: obj._predict_overlap_support(X) and returns: self, self, unknown