code: def test_imputer_float_inputs(self):
      model = Imputer(strategy="mean")
      data = np.array([[1, 2], [np.nan, 3], [7, 6]], dtype=np.float32)
  
      self._test_imputer(model, data)
  
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 2 for calling the TestSklearnImputer obj's underlying member method code with example usage: obj.test_imputer_float_inputs() without return types