Run model without Predicted field input

[rhyolight]

@Zizou

My question is is it possible to create a model that can freely predict a field only based on other influencing input values being fed for the hole sequence. For example share price predictor based on number of trades but never seeing any actual price (maybe not best example) Or is this against basic principles ?

Yes you can do that, but you still need to encode the predicted field along with the other contributing fields. Read through this topic, and also search the forums for more posts.

How Should I Represent My Input with Multiple fields?

I have some data that’s basically the vehicle flow over a bunch of road lanes in a 5 minute period with a timestamp (eg. lane 1: 10 cars, lane 2: 5, lane 3: 15 etc.) How should I best represent this as in input to my model using the OPF? My aim is to detect anomalies over the whole input. At first I thought I could just sum them all, but that gave poor results (see my last post), plus it’s intuitive to think that congestion in one lane will affect the flow in another lane (eg. a crash in a lane…