class_docstr: Checks that estimators conform to sklearn checks
      
docstr: Test classifiers are properly sklearn-compatible
          
docstr_tok: ["Test","classifiers","are","properly","sklearn-compatible"]
code: def test_check_classifier_compatibility(self):
      """Test classifiers are properly sklearn-compatible"""
      for classifier in [
          imodels.SLIMClassifier
      ]:  # BoostedRulesClassifier (multi-class not supported)
          check_estimator(classifier())
          assert "passed check_estimator for " + str(classifier)
  
file_path: imodels/tests/estimator_checks_test.py
imports: import unittest
  from sklearn.utils.estimator_checks import check_estimator, parametrize_with_checks
  from inspect import signature
  import imodels
label_desc: Use image node_id 1 for calling the TestCheckEstimators obj's underlying member method code with example usage: obj.test_check_classifier_compatibility() without return types