code: def test_bagging_linear_svr_1(self):
      X, y = make_regression(
          n_samples=1000,
          n_features=8,
          n_informative=5,
          n_targets=1,
          random_state=0,
          shuffle=True,
      )
      reg = BaggingRegressor(
          base_estimator=LinearSVR(), n_estimators=10, random_state=0
      )
  
      reg.fit(X, y)
  
      hb_model = hummingbird.ml.convert(reg, "torch")
  
      np.testing.assert_allclose(
          reg.predict([[0, 0, 0, 0, 0, 0, 0, 0]]),
          hb_model.predict(np.array([[0, 0, 0, 0, 0, 0, 0, 0]])),
          rtol=1e-05,
          atol=1e-05,
      )
  
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 4 for calling the TestSklearnBagging obj's underlying member method code with example usage: obj.test_bagging_linear_svr_1() without return types