code: def test_bagging_svc(self):
      X, y = make_classification(
          n_samples=100,
          n_features=4,
          n_informative=2,
          n_redundant=0,
          random_state=0,
          shuffle=False,
      )
      clf = BaggingClassifier(
          base_estimator=SVC(), n_estimators=10, random_state=0
      )
  
      clf.fit(X, y)
  
      hb_model = hummingbird.ml.convert(clf, "torch")
  
      np.testing.assert_allclose(
          clf.predict_proba([[0, 0, 0, 0]]),
          hb_model.predict_proba(np.array([[0, 0, 0, 0]])),
          rtol=1e-06,
          atol=1e-06,
      )
  
file_path: hummingbird/tests/test_sklearn_bagging.py
imports: import unittest
  import numpy
  from sklearn.svm import SVC, LinearSVR
  from sklearn.datasets import make_regression, make_classification
  from sklearn.ensemble import BaggingClassifier, BaggingRegressor
  from sklearn.linear_model import LogisticRegression, LinearRegression
  import hummingbird.ml
  from hummingbird.ml import constants
label_desc: Use image node_id 2 for calling the TestSklearnBagging obj's underlying member method code with example usage: obj.test_bagging_svc() without return types