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gradient_free_optimizers.optimizers.smb_opt.exp_imp_based_opt.ExpectedImprovementBasedOptimization.iterate()   A

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Complexity

Conditions 1

Size

Total Lines 4
Code Lines 4

Duplication

Lines 0
Ratio 0 %

Importance

Changes 0
Metric Value
cc 1
eloc 4
nop 1
dl 0
loc 4
rs 10
c 0
b 0
f 0
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# Author: Simon Blanke
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# Email: [email protected]
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# License: MIT License
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class ExpectedImprovementBasedOptimization(SMBO):

            


                            

                    
                        
                    
                    
                    
                    
                                                                                                    
                        

                            
                            
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The variable SMBO does not seem to be defined.
                                                                                                

                    
                                                    

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    def __init__(

            


            
                                                                                                            
                            
            
                                    
            
            

                
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        self,

            


            
                                                                                                            
                            
            
                                    
            
            

                
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        *args,

            


            
                                                                                                            
                            
            
                                    
            
            

                
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        xi=0.01,

            


            
                                                                                                            
                            
            
                                    
            
            

                
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        warm_start_smbo=None,

            


            
                                                                                                            
                            
            
                                    
            
            

                
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        sampling={"random": 1000000},

            


            
                                                                                                            
                            
            
                                    
            
            

                
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        warnings=100000000,

            


            
                                                                                                            
                            
            
                                    
            
            

                
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        **kwargs

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    ):

            


            
                                                                                                            
                            
            
                                    
            
            

                
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        super().__init__(*args, **kwargs)

            


            
                                                                                                            
                            
            
                                    
            
            

                
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        self.new_positions = []

            


            
                                                                                                            
                            
            
                                    
            
            

                
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        self.xi = xi

            


            
                                                                                                            
                            
            
                                    
            
            

                
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        self.warm_start_smbo = warm_start_smbo

            


            
                                                                                                            
                            
            
                                    
            
            

                
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        self.sampling = sampling

            


            
                                                                                                            
                            
            
                                    
            
            

                
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        self.warnings = warnings

            


            
                                                                                                            
                            
            
                                    
            
            

                
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