code: def test_predict():
      print("\n >>> start Predict()...")
  
      import talos
  
      x, y = talos.templates.datasets.iris()
      p = talos.templates.params.iris()
      model = talos.templates.models.iris
  
      x = x[:50]
      y = y[:50]
  
      scan_object = talos.Scan(
          x=x,
          y=y,
          params=p,
          model=model,
          experiment_name="test_iris",
          round_limit=2,
      )
  
      predict = talos.Predict(scan_object)
  
      _preds = predict.predict(x, "val_acc", False)
      _preds = predict.predict_classes(
          x, "val_acc", False, task="multi_label"
      )
  
      print("finised Predict() \n")
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_predict() without return types