code: def test_series_predict_words():
      ftdf = _ftdf_words()
      ft_clf = SeriesFtClassifier()
      ft_clf.fit(ftdf["txt"], ftdf["lbl"])
  
      preds = ft_clf.predict(ftdf["txt"])
      assert preds[0] == "dog"
      assert preds[1] == "cat"
  
imports: import pytest
  import pandas
  from sklearn.model_selection import cross_val_score
  from skift import FirstColFtClassifier, IdxBasedFtClassifier, ColLblBasedFtClassifier, FirstObjFtClassifier, SeriesFtClassifier
label_desc: Use image node_id 8 for calling a global function with example usage: test_series_predict_words() without return types