code: def _onedal_predict(self, X, queue=None):
      return self._onedal_estimator.predict(X, 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._classification import KNeighborsClassifier
  from sklearn.neighbors._unsupervised import NearestNeighbors
  from sklearn.utils.validation import _deprecate_positional_args, check_is_fitted
  from onedal.neighbors import KNeighborsClassifier
  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 KNeighborsClassifier obj's underlying member method code with example usage: obj._onedal_predict(X, queue) and returns: self