code: def _test_svr(self, y_input):
      model = LinearSVR()
  
      np.random.seed(0)
      X = np.random.rand(100, 200)
      X = np.array(X, dtype=np.float32)
      y = y_input
  
      model.fit(X, y)
  
      torch_model = hummingbird.ml.convert(model, "torch")
  
      self.assertTrue(torch_model is not None)
      np.testing.assert_allclose(
          model.predict(X), torch_model.predict(X), rtol=1e-6, atol=1e-6
      )
  
imports: import unittest
  import numpy
  import torch
  from sklearn.svm import LinearSVC, LinearSVR, SVC, NuSVC, SVR
  import hummingbird.ml
  from hummingbird.ml import constants
  from hummingbird.ml._utils import tvm_installed
label_desc: Use image node_id 5 for calling the TestSklearnSVC obj's underlying member method code with example usage: obj._test_svr(y_input) without return types