How Anomaly Detection (Training and Reasoning Model Nodes) differs in Visual Flow Creator vs using the Anomaly Detection APIs in MindSphere
Solution
The basic information of all the Anomaly Detection APIs in MindSphere is referenced here.
Visual Flow Creator's Training and Reasoning Models uses only Batch Mode anomaly detection. This means that you must select data (in one or many aspect variables and a time range) in one asset, which will be asynchronously transferred to train a model.
The Interactive Mode and the Direct Interactive Mode are not directly available in Visual Flow Creator. If you would like to use these other modes, you will have to manually create these APIs using the "http request" node.
Notes