code: def test_missing_indicator_float_inputs_isnan_false_tvm(self):
      for features in ["all", "missing-only"]:
          model = MissingIndicator(features=features, missing_values=0)
          data = np.array([[1, 2], [0, 3], [7, 6]], dtype=np.float32)
          model.fit(data)
  
          self._test_sklearn_missing_indic(model, data, "tvm")
  
imports: import unittest
  import warnings
  import numpy
  import torch
  from sklearn.impute import MissingIndicator, SimpleImputer
  from hummingbird.ml._utils import onnx_runtime_installed, tvm_installed
  import hummingbird.ml
label_desc: Use image node_id 5 for calling the TestSklearnMissingIndicator obj's underlying member method code with example usage: obj.test_missing_indicator_float_inputs_isnan_false_tvm() without return types