"Deep Learning Operator for One Class Neural Network"

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