"Deep Learning Operator for One Class Neural Network"

LobbieLobbie Member Posts: 10 Contributor I
edited June 2019 in Help



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.




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