[scikit-learn] question for using GridSearchCV on LocalOutlierFactor

[Lifan Xu]

Hi,

     I was trying to train a model for anomaly detection. I only have 
the normal data which are all labeled as 1. Here is my code:


     clf = 
sklearn.model_selection.GridSearchCV(sklearn.neighbors.LocalOutlierFactor(),
                        parameters,
                        scoring="accuracy",
                        cv=kfold,
                        n_jobs=10)
     clf.fit(vectors, labels)


     But it complains "AttributeError: 'LocalOutlierFactor' object has 
no attribute 'predict'".

     It looks like LocalOutlierFactor only has fit_predict(), but no 
predict().

     My question is will predict() be implemented?


     Thanks!