def METHOD_NAME(self, X, y, sample_weight=None, queue=None):
    onedal_params = {
        "C": self.C,
        "nu": self.nu,
        "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_NuSVR(**onedal_params)
    self._onedal_estimator.fit(X, y, sample_weight, queue=queue)
    self._save_attributes()