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RGF.model()   A

↳ Parent: RGF

Complexity

Conditions 1

Size

Total Lines 12
Code Lines 10

Duplication

Lines 12
Ratio 100 %

Importance

Changes 0
Metric Value
eloc 10
dl 12
loc 12
rs 9.9
c 0
b 0
f 0
cc 1
nop 3
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from sklearn.datasets import load_breast_cancer
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from sklearn.model_selection import cross_val_score
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from rgf.sklearn import RGFClassifier
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from hyperactive import Hyperactive

            


            
                                                                                                            
                            
            
                                    
            
            

                
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data = load_breast_cancer()

            


            
                                                                                                            
                            
            
                                    
            
            

                
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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 = {

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    model: {

            


            
                                                                                                            
                            
            
                                    
            
            

                
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        "max_leaf": range(1000, 10000, 100),

            


            
                                                                                                            
                            
            
                                    
            
            

                
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        "reg_depth": range(1, 21),

            


            
                                                                                                            
                            
            
                                    
            
            

                
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        "min_samples_leaf": range(1, 21),

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    }

            


            
                                                                                                            
                            
            
                                    
            
            

                
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}

            


            
                                                                                                            
                            
            
                                    
            
            

                
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opt = Hyperactive(X, y)

            


            
                                                                                                            
                                                                
            
                                    
            
            

                
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opt.search(search_config, n_iter=5)

            


            
                                                        
            
                                    
            
            

                
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