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Code Duplication    Length = 12-12 lines in 2 locations

examples/tested_and_supported_packages/multiprocessing_example.py 1 location

@@ 28-39 (lines=12) @@
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    return scores.mean()
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def model_rfc(opt):

                                

                                                            

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    rfc = RandomForestClassifier(

                                

                                                            

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        n_estimators=opt["n_estimators"],

                                

                                                            

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        criterion=opt["criterion"],

                                

                                                            

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        max_features=opt["max_features"],

                                

                                                            

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        min_samples_split=opt["min_samples_split"],

                                

                                                            

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        min_samples_leaf=opt["min_samples_leaf"],

                                

                                                            

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        bootstrap=opt["bootstrap"],

                                

                                                            

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    )

                                

                                                            

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    scores = cross_val_score(rfc, X, y, cv=3)

                                

                                                            

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    return scores.mean()

                                

                                                            

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def model_gbc(opt):

                                

                                                                        

                

                                                            

                    
examples/tested_and_supported_packages/joblib_example.py 1 location

                

                

                    

                                                
                                                    

                                
                                
                                    @@ 28-39 (lines=12) @@
                                
                            


                                                            

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    return scores.mean()

                                

                                                            

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def model_rfc(opt):

                                

                                                            

                                    29
                                    
                                    
    rfc = RandomForestClassifier(

                                

                                                            

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        n_estimators=opt["n_estimators"],

                                

                                                            

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        criterion=opt["criterion"],

                                

                                                            

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        max_features=opt["max_features"],

                                

                                                            

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        min_samples_split=opt["min_samples_split"],

                                

                                                            

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        min_samples_leaf=opt["min_samples_leaf"],

                                

                                                            

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        bootstrap=opt["bootstrap"],

                                

                                                            

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    )

                                

                                                            

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    scores = cross_val_score(rfc, X, y, cv=3)

                                

                                                            

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    return scores.mean()

                                

                                                            

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def model_gbc(opt):