code: def fit(self, data: pd.DataFrame) -> None:
      # Do the support characterization
      X = data[self.X_cols]
      t = data[self.t_col]
  
      if self._overlap_only:
          supp = np.ones(X.shape[0]).astype(bool)
      else:
          self.RS_support_estimator.fit(X)  # type: ignore
          # Recover the samples that are in the support
          supp = self.RS_support_estimator.predict(X).astype(bool)  # type: ignore
  
      self.support_indicator = supp
      X_supp, t_supp = X[supp], t[supp]
  
      if self._support_only:
          self.overlap_indicator = supp
      else:
          # Assess overlap using propensity scores with cross-fitting
          self.raw_overlap_set = self._assess_propensity_overlap(
              X_supp, t_supp
          )
          # Check if all supported units are considered to be in the overlap set
          if np.all(self.raw_overlap_set):
              print(
                  (
                      "All samples in the support region satisfy the overlap condition.\n"
                      "No Overlap Rules will be learned."
                  )
              )
              self.overlap_indicator = supp
              self._support_only = True
          else:
              self.RS_overlap_estimator.fit(X_supp, self.raw_overlap_set)  # type: ignore
              self.overlap_indicator = self.RS_overlap_estimator.predict(X_supp)  # type: ignore
  
      self.is_fitted = True
      self.X = X
      self.t = t
      self.X_supp = X_supp
      self.t_supp = t_supp
  
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 2 for calling the OverruleAnalyzer obj's underlying member method code with example usage: obj.fit(data) without return types