code: def test_normalize_good(self, loss_function):
      dataset = Dataset("adult")
      model = self.fit(loss_function, dataset)
      if loss_function == "RMSEWithUncertainty":
          with pytest.raises(Exception):
              self.normalize_model(model, dataset, "test_file")
      else:
          normalized_model = self.normalize_model(
              model, dataset, "test_file"
          )
          normalized_eval = self.eval_model(
              normalized_model, dataset, "test_file"
          )
          normalized_minmax = self.get_minmax(normalized_eval)
          assert normalized_minmax == (0, 1)
  
imports: import os
  import pytest
  import re
  import yatest.common
  from lib import data_file, get_limited_precision_dsv_diff_tool
label_desc: Use image node_id 7 for calling the TestModeNormalizeModel obj's underlying member method code with example usage: obj.test_normalize_good(loss_function) without return types