Hi,
I understand from the H2O documentation that it is possible to perform One Class Neural Network for anomaly detections. It mentioned about the use of autoencoders. However, I searched the parameters of the Deep Learning operator in Rapidminer and couldn't find it.
Can anyone share how can I do a One Class Neural Network for anomaly detection using the Deep Learning Operator? FYI, I have already done one model using One Class SVM with the SVM (Libsvm) operator.
Thanks,
Lobbie
