code: def test_4_timeseries_t_plus_1(self):
      df = pd.read_csv("tests/data/arrivals.csv")
      target = "Traffic"
      prob_kwargs = {
          "timeseries_settings": {
              "time_aim": 15,
              "group_by": ["Country"],
              "horizon": 1,
              "order_by": "T",
              "window": 5,
          }
      }
      expected_mixers = [
          "NeuralTs",
          "Regression",
          "RandomForest",
          "XGBoostMixer",
      ]
      mixers = self.get_mixers(df, target, prob_kwargs=prob_kwargs)
      self.assertEqual(set(mixers), set(expected_mixers))
  
file_path: lightwood/tests/integration/basic/test_model_selection.py
imports: import unittest
  import pandas
  from lightwood.api.high_level import json_ai_from_problem
  from lightwood.api.types import ProblemDefinition
label_desc: Use image node_id 6 for calling the TestMixerSelection obj's underlying member method code with example usage: obj.test_4_timeseries_t_plus_1() without return types