code: def test_predict_interval(self):
      train_data, val_data, test_data = create_data()
      forecaster = LSTMForecaster(
          past_seq_len=24,
          input_feature_num=2,
          output_feature_num=2,
          hidden_dim=16,
          layer_num=1,
          dropout=0.1,
          loss="mae",
          metrics=["mse"],
          lr=0.01,
      )
      forecaster.fit(train_data, epochs=2)
      y_pred, std = forecaster.predict_interval(
          data=test_data[0],
          validation_data=val_data,
          repetition_times=5,
      )
      assert y_pred.shape == test_data[1].shape
      assert y_pred.shape == std.shape
  
imports: import numpy
  import tempfile
  import os
  from bigdl.chronos.utils import LazyImport
  from unittest import TestCase
  import pytest
  from ..None import op_torch, op_distributed, op_inference, op_automl
label_desc: Use image node_id 28 for calling the TestChronosModelLSTMForecaster obj's underlying member method code with example usage: obj.test_predict_interval() without return types