[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!

_______________________________________________
scikit-learn mailing list
scikit-learn@python.org
https://mail.python.org/mailman/listinfo/scikit-learn