code: def _onedal_fit(self, X, y, sample_weight=None, queue=None):
      onedal_params = {
          "C": self.C,
          "epsilon": self.epsilon,
          "kernel": self.kernel,
          "degree": self.degree,
          "gamma": self.gamma,
          "coef0": self.coef0,
          "tol": self.tol,
          "shrinking": self.shrinking,
          "cache_size": self.cache_size,
          "max_iter": self.max_iter,
      }
  
      self._onedal_estimator = onedal_SVR(**onedal_params)
      self._onedal_estimator.fit(X, y, sample_weight, queue=queue)
      self._save_attributes()
  
file_path: scikit-learn-intelex/sklearnex/svm/svr.py
imports: from sklearn.svm import SVR
  from sklearn.utils.validation import _deprecate_positional_args
  from daal4py.sklearn._utils import control_n_jobs, run_with_n_jobs, sklearn_check_version
  from onedal.svm import SVR
  from .._device_offload import dispatch, wrap_output_data
  from ._common import BaseSVR
label_desc: Use image node_id 4 for calling the SVR obj's underlying member method code with example usage: obj._onedal_fit(X, y, sample_weight, queue) without return types