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Code Duplication    Length = 12-12 lines in 2 locations

examples/machine_learning/rgf_example.py 1 location

@@ 11-22 (lines=12) @@
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X, y = data.data, data.target
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def model(para, X, y):

                                

                                                            

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    rgf = RGFClassifier(

                                

                                                            

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        max_leaf=para["max_leaf"],

                                

                                                            

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        reg_depth=para["reg_depth"],

                                

                                                            

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        min_samples_leaf=para["min_samples_leaf"],

                                

                                                            

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        algorithm="RGF_Sib",

                                

                                                            

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        test_interval=100,

                                

                                                            

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        verbose=False,

                                

                                                            

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    )

                                

                                                            

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

                                

                                                            

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    return scores.mean()

                                

                                                            

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search_config = {

                                

                                                                        

                

                                                            

                    
examples/examples_v1.x.x/machine_learning/rgf_python.py 1 location

                

                

                    

                                                
                                                    

                                
                                
                                    @@ 11-22 (lines=12) @@
                                
                            


                                                            

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X, y = data.data, data.target

                                

                                                            

                                    9
                                    
                                    

                                

                                                            

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def model(para, X, y):

                                

                                                            

                                    12
                                    
                                    
    rgf = RGFClassifier(

                                

                                                            

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        max_leaf=para["max_leaf"],

                                

                                                            

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        reg_depth=para["reg_depth"],

                                

                                                            

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        min_samples_leaf=para["min_samples_leaf"],

                                

                                                            

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        algorithm="RGF_Sib",

                                

                                                            

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        test_interval=100,

                                

                                                            

                                    18
                                    
                                    
        verbose=False,

                                

                                                            

                                    19
                                    
                                    
    )

                                

                                                            

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

                                

                                                            

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    return scores.mean()

                                

                                                            

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search_config = {