code: def test_multiclass_classification_with_kwargs(self):
      roc_auc_kwargs = dict(multi_class="ovr", average="macro")
      self._test_multiclass_classification(
          roc_auc_score, True, kwargs=roc_auc_kwargs
      )
      self._test_multiclass_classification(
          roc_auc_score, False, kwargs=roc_auc_kwargs
      )
  
file_path: poutyne/tests/framework/metrics/test_sklearn_metrics.py
imports: from itertools import repeat
  from unittest import TestCase, skipIf
  import numpy
  import torch
  from torch.utils.data import DataLoader
  from poutyne import SKLearnMetrics, TensorDataset
label_desc: Use image node_id 4 for calling the SKLearnMetricsTest obj's underlying member method code with example usage: obj.test_multiclass_classification_with_kwargs() without return types