code: def _onedal_kneighbors(
      self, X=None, n_neighbors=None, return_distance=True, queue=None
  ):
      return self._onedal_estimator.kneighbors(
          X, n_neighbors, return_distance, queue=queue
      )
  
imports: import warnings
  from sklearn.neighbors._ball_tree import BallTree
  from sklearn.neighbors._base import NeighborsBase
  from sklearn.neighbors._kd_tree import KDTree
  from daal4py.sklearn._utils import control_n_jobs, run_with_n_jobs, sklearn_check_version
  import numpy
  from sklearn.neighbors._base import VALID_METRICS
  from sklearn.neighbors._regression import KNeighborsRegressor
  from sklearn.neighbors._unsupervised import NearestNeighbors
  from sklearn.utils.validation import _deprecate_positional_args, check_is_fitted
  from onedal.neighbors import KNeighborsRegressor
  from onedal.utils import _check_array, _num_features, _num_samples
  from .._device_offload import dispatch, wrap_output_data
  from .common import KNeighborsDispatchingBase
label_desc: Use image node_id 7 for calling the KNeighborsRegressor obj's underlying member method code with example usage: obj._onedal_kneighbors(X, n_neighbors, return_distance, queue) and returns: self