Yue Zhao

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A rule of thumb, if you have labels, using supervised models is preferred even for anomaly detection. Charu Aggarwal-- Outlier Analysis--Second Edition--Page 26 ![image](https://user-images.githubusercontent.com/15079146/87556860-290eb080-c685-11ea-8ff5-8aedcdad2052.png)

Please share the screenshot...I am afraid that this is not about PyOD as it is the first time we heard this. If abod, knn, and other non deep learning models...

Sorry for being late. this will be the next PR to be in. It looks nice to me. Just need to run some test locally :) hang in there. Thanks!

noted and thanks for the advice

that will be great for LODA. Help appreciated!

> Thanks for this analysis. Very helpful. I also agree that in the ideal case test samples should be somehow independent while predicting. So whether train+test or train+a single test...

Thanks for the note. I will say just rerun it. I tried to reproduce on my end and it went through. if possible, could you share me the code and...

Problem acknowledged. Looks like there are some update on the dependent libraries.

as shown https://github.com/yzhao062/pyod/pull/192, just change line 74 to `random_state = 42` There are some underlying changes in numpy and sklearn, which cause the issue. A PR will be merged soon.