code: def test_sklearn_linear_model_raises_wrong_type(self):
      np.random.seed(0)
      X = np.random.rand(10, 10)
      X = np.array(X, dtype=np.float32)
      y = np.random.randint(2, size=10)
      model = SVC(kernel="precomputed").fit(X, y)
      self.assertRaises(
          RuntimeError, hummingbird.ml.convert, model, "torch"
      )
  
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 19 for calling the TestSklearnSVC obj's underlying member method code with example usage: obj.test_sklearn_linear_model_raises_wrong_type() without return types