code: def test_logistic_regression_onnxml_multi(
      self, rtol=1e-06, atol=1e-06
  ):
      onnx_ml_pred, onnx_pred = self._test_linear(3)
  
      # Check that predicted values match
      np.testing.assert_allclose(
          onnx_ml_pred[1], onnx_pred[1], rtol=rtol, atol=atol
      )  # labels
      np.testing.assert_allclose(
          list(map(lambda x: list(x.values()), onnx_ml_pred[0])),
          onnx_pred[0],
          rtol=rtol,
          atol=atol,
      )
  
file_path: hummingbird/tests/test_onnxml_linear_converter.py
imports: import unittest
  import warnings
  import numpy
  import torch
  from sklearn.linear_model import LinearRegression, LogisticRegression, SGDClassifier, LogisticRegressionCV
  from hummingbird.ml._utils import onnx_ml_tools_installed, onnx_runtime_installed, lightgbm_installed
  from hummingbird.ml import convert
label_desc: Use image node_id 3 for calling the TestONNXLinear obj's underlying member method code with example usage: obj.test_logistic_regression_onnxml_multi(rtol, atol) without return types