code: def test_issue_1443():
      dataset = datasets.Phishing()
  
      model = (
          preprocessing.StandardScaler()
          | linear_model.LogisticRegression(optimizer=optim.SGD(0.1))
      )
  
      metric = metrics.ConfusionMatrix()
  
      for _ in evaluate.iter_progressive_val_score(
          dataset, model, metric
      ):
          pass
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_issue_1443() without return types