code: def test_lstm_forecaster_fit_earlystop_patience(self):
      train_data, val_data, _ = create_data()
      forecaster = LSTMForecaster(
          past_seq_len=24,
          input_feature_num=2,
          output_feature_num=2,
          hidden_dim=[32, 16],
          layer_num=2,
          dropout=[0.1, 0.2],
          loss="mae",
          lr=0.01,
      )
      val_loss = forecaster.fit(
          train_data,
          val_data,
          validation_mode="earlystop",
          earlystop_patience=6,
          epochs=10,
      )
  
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 25 for calling the TestChronosModelLSTMForecaster obj's underlying member method code with example usage: obj.test_lstm_forecaster_fit_earlystop_patience() without return types