code: def test_predict_with_uncertainty(self):
      config = {"batch_size": 128}
      self.model.fit_eval(
          (self.train_data[0], self.train_data[1]),
          self.val_data,
          **config,
      )
      prediction, uncertainty = self.model.predict_with_uncertainty(
          self.test_data[0], n_iter=100
      )
      assert prediction.shape == self.test_data[1].shape
      assert uncertainty.shape == self.test_data[1].shape
      assert np.any(uncertainty)
  
file_path: analytics-zoo/pyzoo/test/zoo/chronos/model/test_VanillaLSTM.py
imports: import pytest
  from unittest import TestCase
  from zoo.chronos.model.VanillaLSTM import VanillaLSTM
  import numpy
  import tempfile
  import os
label_desc: Use image node_id 4 for calling the TestVanillaLSTM obj's underlying member method code with example usage: obj.test_predict_with_uncertainty() without return types