code: def test_robust_scaler_onnx_t(self, rtol=1e-06, atol=1e-06):
      model = RobustScaler(with_centering=True)
      onnx_ml_pred, onnx_pred = self._test_scaler_converter(model)
  
      # Check that predicted values match
      np.testing.assert_allclose(
          onnx_ml_pred, onnx_pred, rtol=rtol, atol=atol
      )
  
file_path: hummingbird/tests/test_onnxml_scaler_converter.py
imports: import unittest
  import warnings
  import numpy
  from sklearn.preprocessing import MaxAbsScaler, MinMaxScaler, StandardScaler, RobustScaler
  import torch
  from hummingbird.ml._utils import onnx_ml_tools_installed, onnx_runtime_installed
  from hummingbird.ml import convert
label_desc: Use image node_id 5 for calling the TestONNXScaler obj's underlying member method code with example usage: obj.test_robust_scaler_onnx_t(rtol, atol) without return types