code: def test_3_complex_text_task(self):
      df = pd.read_csv("tests/data/wine_reviews_binary_sample.csv")
      target = "label"
      expected_mixers = [
          "Neural",
          "Regression",
          "RandomForest",
          "XGBoostMixer",
      ]
      mixers = self.get_mixers(df, target)
      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 5 for calling the TestMixerSelection obj's underlying member method code with example usage: obj.test_3_complex_text_task() without return types