Tom, This is something we'd like to do, but doesn't work yet.
https://github.com/numenta/nupic/issues/1712. Your only option at this point (and it's not a horrible option) is to create several models for the same input, one for each field you'd like to predict. Then send them all the input rows at the same time while they predict for their own fields. Regards, --------- Matt Taylor OS Community Flag-Bearer Numenta On Thu, May 7, 2015 at 12:01 AM, Tom Tan <[email protected]> wrote: > Hi, > > Is there an example or documentation how to predict multiple fields? I > looked at the example using multiple fields > https://github.com/subutai/nupic.subutai/tree/master/swarm_examples, and it > is to use multiple field inputs to predict a single output. Let’s say I > have a stream of CPU, RAM, I/O, and network data for a server. I’d like to > CLA model to be able to predict next time period CPU, Ram, I/O and network > values at once, and perhaps generate one anomaly score considering all > predictions vs. actual. Do I have to use multiple models, one for each > data field to accomplish this? > > Regards, > Tom > > >
