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test_warm_start_smbo()   A

↳ Parent: tests.test_optimizer_parameter.test_EnsembleOptimizer

Complexity

Conditions 3

Size

Total Lines 15
Code Lines 12

Duplication

Lines 15
Ratio 100 %

Importance

Changes 0
Metric Value
cc 3
eloc 12
nop 0
dl 15
loc 15
rs 9.8
c 0
b 0
f 0
1 
# Author: Simon Blanke
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# Email: [email protected]
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# License: MIT License
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import numpy as np

            


            
                                                                                                            
                            
            
                                    
            
            

                
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from gradient_free_optimizers import EnsembleOptimizer

            


            
                                                                                                            
                            
            
                                    
            
            

                
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from ._base_test import _base_test

            


            
                                                                                                            
                            
            
                                    
            
            

                
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n_iter = 33

            


            
                                                                                                            
                            
            
                                    
            
            

                
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opt = EnsembleOptimizer

            


            
                                                                                                            
                            
            
                                    
            
            

                
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def get_score(para):

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    return -(para["x1"] * para["x1"])

            


            
                                                                                                            
                            
            
                                    
            
            

                
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                View Code Duplication
                
def test_warm_start_smbo():

            


                            

                    
                        
                    
                    
                    
                    
                                                                                                    
                        

                            
                            
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    gpr_X, gpr_y = [], []

            


            
                                                        
            
                                    
            
            

                
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    for _ in range(10):

            


            
                                                        
            
                                    
            
            

                
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        pos_ = np.random.randint(0, high=9)

            


            
                                                        
            
                                    
            
            

                
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        pos = np.array([pos_])

            


            
                                                        
            
                                    
            
            

                
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        para = {

            


            
                                                        
            
                                    
            
            

                
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            "x1": pos_,

            


            
                                                        
            
                                    
            
            

                
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        }

            


            
                                                        
            
                                    
            
            

                
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        gpr_X.append(pos)

            


            
                                                        
            
                                    
            
            

                
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        gpr_y.append(get_score(para))

            


            
                                                        
            
                                    
            
            

                
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    for warm_start_smbo in [None, (gpr_X, gpr_y)]:

            


            
                                                        
            
                                    
            
            

                
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        opt_para = {"warm_start_smbo": warm_start_smbo}

            


            
                                                        
            
                                    
            
            

                
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        _base_test(opt, n_iter, opt_para=opt_para)

            


            
                                                        
            
                                    
            
            

                
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