predict_proba : IndexError: index 1 is out of bounds for axis 1 with size 1

[arita37]

Some issues when predict_proba with HBOS, ABOD models.

probs seems one dimension !!!!!!

C:\D\anaconda3\envs\py36\lib\site-packages\pyod\models\base.py in predict_proba(self, X, method)         
    204             scaler = MinMaxScaler().fit(train_scores.reshape(-1, 1))                             
    205             probs[:, 1] = scaler.transform(                                                      
--> 206                 test_scores.reshape(-1, 1)).ravel().clip(0, 1)                                   
    207             probs[:, 0] = 1 - probs[:, 1]                                                        
    208             return probs                                                                         
                                                                                                         
IndexError: index 1 is out of bounds for axis 1 with size 1                                              
> c:\d\anaconda3\envs\py36\lib\site-packages\pyod\models\base.py(206)predict_proba()                     
    204             scaler = MinMaxScaler().fit(train_scores.reshape(-1, 1))                             
    205             probs[:, 1] = scaler.transform(                                                      
--> 206                 test_scores.reshape(-1, 1)).ravel().clip(0, 1)                                   
    207             probs[:, 0] = 1 - probs[:, 1]                                                        
    208             return probs  

ipdb> test_scores                                                                                        
array([  -0.        ,  -45.25394496,   -0.        , ...,   -0.        ,                                  
       -404.05396667, -146.66039545])                                                                    
ipdb>  test_scores.reshape(-1, 1)                                                                        
array([[  -0.        ],                                                                                  
       [ -45.25394496],                                                                                  
       [  -0.        ],                                                                                  
       ...,                                                                                              
       [  -0.        ],                                                                                  
       [-404.05396667],                                                                                  
       [-146.66039545]])                                                                                 
ipdb> test_scores.reshape(-1, 1)).ravel()                                                                
*** SyntaxError: invalid syntax                                                                          
ipdb> test_scores.reshape(-1, 1).ravel()                                                                 
array([  -0.        ,  -45.25394496,   -0.        , ...,   -0.        ,                                  
       -404.05396667, -146.66039545])                                                                    
ipdb> scaler.transform(                                                                                  
--> 206                 test_scores.reshape(-1, 1))                                                      
*** SyntaxError: invalid syntax                                                                          
ipdb> scaler.transform(                                                     test_scores.reshape(-1, 1))  
array([[1.],                                                                                             
       [1.],                                                                                             
       [1.],                                                                                             
       ...,                                                                                              
       [1.],                                                                                             
       [1.],                                                                                             
       [1.]])                                                                                            
ipdb> scaler.transform(                                                     test_scores.reshape(-1, 1)). 
ravel()                                                                                                  
array([1., 1., 1., ..., 1., 1., 1.])                                                                     
ipdb> scaler.transform(                                                     test_scores.reshape(-1, 1)). 
ravel().clip(0, 1)                                                                                       
array([1., 1., 1., ..., 1., 1., 1.])                                                                     
ipdb> probs                                                                                              
array([[0.],                                                                                             
       [0.],                                                                                             
       [0.],                                                                                             
       ...,                                                                                              
       [0.],                                                                                             
       [0.],                                                                                             
       [0.]])  

[arita37]

in base.py

Code should be : self._classes = max(2, len(np.unique(y)) )

to prevent having only one class