code: def _estimators_(self):
      super()._estimators_()
      classes_ = self.classes_[0]
      for est in self._cached_estimators_:
          est.classes_ = classes_
  
imports: import numbers
  import warnings
  from abc import ABC
  import numpy
  from scipy import sparse
  from sklearn.base import clone
  from sklearn.ensemble import ExtraTreesClassifier
  from sklearn.ensemble import ExtraTreesRegressor
  from sklearn.ensemble import RandomForestClassifier
  from sklearn.ensemble import RandomForestRegressor
  from sklearn.ensemble._forest import _get_n_samples_bootstrap
  from sklearn.exceptions import DataConversionWarning
  from sklearn.tree import DecisionTreeClassifier, DecisionTreeRegressor, ExtraTreeClassifier, ExtraTreeRegressor
  from sklearn.tree._tree import Tree
  from sklearn.utils import check_random_state, deprecated
  from sklearn.utils.validation import check_array, check_consistent_length, check_is_fitted, check_X_y
  from daal4py.sklearn._utils import check_tree_nodes, control_n_jobs, daal_check_version, run_with_n_jobs, sklearn_check_version
  from onedal.ensemble import ExtraTreesClassifier
  from onedal.ensemble import ExtraTreesRegressor
  from onedal.ensemble import RandomForestClassifier
  from onedal.ensemble import RandomForestRegressor
  from onedal.primitives import get_tree_state_cls, get_tree_state_reg
  from onedal.utils import _num_features, _num_samples
  from .._config import get_config
  from .._device_offload import dispatch, wrap_output_data
  from .._utils import PatchingConditionsChain
label_desc: Use image node_id 2 for calling the ForestClassifier obj's underlying member method code with example usage: obj._estimators_() without return types