code: def _test_sklearn_polynomial_featurizer(self, data, model):
      data_tensor = torch.from_numpy(data)
  
      torch_model = hummingbird.ml.convert(model, "torch")
      self.assertIsNotNone(torch_model)
      np.testing.assert_allclose(
          model.transform(data),
          torch_model.transform(data_tensor),
          rtol=1e-06,
          atol=1e-06,
      )
  
file_path: hummingbird/tests/test_sklearn_poly_features_converter.py
imports: import unittest
  import warnings
  import numpy
  import torch
  from sklearn.preprocessing import PolynomialFeatures
  import hummingbird.ml
label_desc: Use image node_id 1 for calling the TestSklearnPolynomialFeatures obj's underlying member method code with example usage: obj._test_sklearn_polynomial_featurizer(data, model) without return types