class_docstr: C-Support Vector Classification.
class_docstr_tok: ["C-Support","Vector","Classification","."]
code: def fit(self, X, y, sample_weight=None, queue=None):
      return super()._fit(
          X, y, sample_weight, _backend.svm.classification, queue
      )
  
imports: from abc import ABCMeta, abstractmethod
  from enum import Enum
  from numbers import Number, Real
  import numpy
  from scipy import sparse
  from sklearn.base import BaseEstimator
  from daal4py.sklearn._utils import sklearn_check_version
  from onedal import _backend
  from ..common._estimator_checks import _check_is_fitted
  from ..common._mixin import ClassifierMixin, RegressorMixin
  from ..common._policy import _get_policy
  from ..datatypes import from_table, to_table
  from ..utils import _check_array, _check_n_features, _check_X_y, _column_or_1d, _validate_targets
label_desc: Use image node_id 3 for calling the SVC obj's underlying member method code with example usage: obj.fit(X, y, sample_weight, queue) and returns: super