How to use 'how would you import a decision tree classifier in sklearn' in Python
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332 def test_export_to_sklearn_pipeline(self): 333 from lale.lib.sklearn import PCA 334 from lale.lib.sklearn import KNeighborsClassifier 335 from sklearn.pipeline import make_pipeline 336 lale_pipeline = PCA(n_components=3) >> KNeighborsClassifier() 337 trained_lale_pipeline = lale_pipeline.fit(self.X_train, self.y_train) 338 sklearn_pipeline = trained_lale_pipeline.export_to_sklearn_pipeline() 339 for i, pipeline_step in enumerate(sklearn_pipeline.named_steps): 340 sklearn_step_params = sklearn_pipeline.named_steps[pipeline_step].get_params() 341 lale_sklearn_params = trained_lale_pipeline.steps()[i]._impl._wrapped_model.get_params() 342 self.assertEqual(sklearn_step_params, lale_sklearn_params) 343 self.assert_equal_predictions(sklearn_pipeline, trained_lale_pipeline)