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Pull Request — master (#87)
by Simon
01:16
created

_estimator_has()   A

↳ Parent: hyperactive.integrations.sklearn.utils

Complexity

Conditions 2

Size

Total Lines 12
Code Lines 9

Duplication

Lines 0
Ratio 0 %

Importance

Changes 0
Metric Value
cc 2
eloc 9
nop 1
dl 0
loc 12
rs 9.95
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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from sklearn.utils.validation import (

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    indexable,

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    _check_method_params,

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    check_is_fitted,

            


            
                                                                                                            
                            
            
                                    
            
            

                
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)

            


            
                                                                                                            
                            
            
                                    
            
            

                
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# NOTE Implementations of following methods from:

            


            
                                                                                                            
                            
            
                                    
            
            

                
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# https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/model_selection/_search.py

            


            
                                                                                                            
                            
            
                                    
            
            

                
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# Tag: 1.5.1

            


            
                                                                                                            
                            
            
                                    
            
            

                
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def _check_refit(search_cv, attr):

            


            
                                                                                                            
                            
            
                                    
            
            

                
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    if not search_cv.refit:

            


            
                                                                                                            
                            
            
                                    
            
            

                
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        raise AttributeError(

            


            
                                                                                                            
                            
            
                                    
            
            

                
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            f"This {type(search_cv).__name__} instance was initialized with "

            


            
                                                                                                            
                            
            
                                    
            
            

                
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            f"`refit=False`. {attr} is available only after refitting on the best "

            


            
                                                                                                            
                            
            
                                    
            
            

                
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            "parameters. You can refit an estimator manually using the "

            


            
                                                                                                            
                            
            
                                    
            
            

                
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            "`best_params_` attribute"

            


            
                                                                                                            
                            
            
                                    
            
            

                
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        )

            


            
                                                                                                            
                            
            
                                    
            
            

                
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def _estimator_has(attr):

            


            
                                                        
            
                                    
            
            

                
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    def check(self):

            


            
                                                        
            
                                    
            
            

                
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        _check_refit(self, attr)

            


            
                                                        
            
                                    
            
            

                
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        if hasattr(self, "best_estimator_"):

            


            
                                                        
            
                                    
            
            

                
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            # raise an AttributeError if `attr` does not exist

            


            
                                                        
            
                                    
            
            

                
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            getattr(self.best_estimator_, attr)

            


            
                                                        
            
                                    
            
            

                
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            return True

            


            
                                                        
            
                                    
            
            

                
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        # raise an AttributeError if `attr` does not exist

            


            
                                                        
            
                                    
            
            

                
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        getattr(self.estimator, attr)

            


            
                                                        
            
                                    
            
            

                
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        return True

            


            
                                                        
            
                                    
            
            

                
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    return check

            


            
                                                        
            
                                    
            
            

                
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