class_docstr: Tests simple classification for different models. Note: still doesn't test all the models!
      
class_docstr_tok: ["Tests","simple","classification","for","different","models",".","Note",":","still","does","n't","test","all","the","models","!"]
docstr: Test imodels on basic binary classification task
          
docstr_tok: ["Test","imodels","on","basic","binary","classification","task"]
code: def test_printing_autogluon_models(self):
      """Test imodels on basic binary classification task"""
      for model_type in [
          FIGSClassifier,
          BoostedRulesClassifier,
          GreedyTreeClassifier,
          RuleFitClassifier,
          HSTreeClassifierCV,
      ]:
          init_kwargs = {}
          m = model_type(**init_kwargs)
  
          X = self.X_classification_binary
          m.fit(X, self.y_classification_binary)
  
          print(m)
  
imports: import random
  import numpy
  from imodels import FIGSClassifier, BoostedRulesClassifier, GreedyTreeClassifier, RuleFitClassifier, HSTreeClassifierCV
label_desc: Use image node_id 2 for calling the TestAutogluon obj's underlying member method code with example usage: obj.test_printing_autogluon_models() without return types