Yue Zhao

@sbysiak Thanks for the note. Much appreciated. Will also check out it and consider add this to the documentation :)

> Any news regarding save PyOD models? I need to save an IForest model, can I use Pickle? Sorry I have not tested it out which should be. If pickle...

Sorry for being late. This is possible during the test time....since we just simply concatenate the train and test for prediction....so it should be simple. will consider an update.

noted. we have not considered the use case of saving SUOD. This may be a bit involved since bps_prediction.joblib should be part of the suod package. Would you mind sharing...

This is great! Maybe a seperate file/class called OOCSVM? online OCSVM? So that we do not need to break the current OCSVM. thanks!

Sorry for being late on this. Could you explain a bit the reasoning for this? I think the overall logic is fine but PCA has been updated many times for...

Nah it should be fine but it is just too old and I could merge easily. would you mind rebasing it with the current development branch? We could then merge...

I think this is a classical approach but have not been implemented in PyOD yet. before it is actually implemented, you may use HBOS which is sort of non-parameteric density...

so basically pyod is an off-the-shelf library with little flexibility. We do not differentiate the numerical and categorical features...but it should not be hard if you take the code and...

Thanks for the note. I forget to mention in the documentation that the deep learning model will not benefit from SUOD acceleration... The bottleneck of deep learning training is mainly...