Wrong parameter in LOF wrapper

I noticed that the Local Outlier Factor wrapper is used as a novelty detector but does not set the flag novelty at instantiation. The details are explained here but the main point is the following:

Note that neighbors.LocalOutlierFactor does not support predict, decision_function and score_samples methods by default but only a fit_predict method, as this estimator was originally meant to be applied for outlier detection. The scores of abnormality of the training samples are accessible through the negative_outlier_factor_ attribute.

If you really want to use neighbors.LocalOutlierFactor for novelty detection, i.e. predict labels or compute the score of abnormality of new unseen data, you can instantiate the estimator with the novelty parameter set to True before fitting the estimator. In this case, fit_predict is not available.