Matt, Thanks for your kind help, and looking forward to reading your tutorial.
Regards, Richard On Thu, May 14, 2015 at 11:45 PM, Matthew Taylor <[email protected]> wrote: > Whether you need to swarm on each field of data depends on whether the > columns of data have different characteristics. If they are all > basically within the same bounds, same data type, etc., you generally > won't need to swarm against all of them and you can just reuse the > model params from one swarm against a field for each column. But if > they are different types and have drastically different parameters, > you should swarm against them all. > > Since so many of you are asking about this, I guess I should put some > time into finishing the "Multiple Hot Gyms Prediction Tutorial" > (https://github.com/numenta/nupic/issues/1320), which would give > examples of running an ensemble of models against many input fields. I > started it at > https://github.com/rhyolight/nupic/tree/many-hot-gyms-prediction > but it is quite out-of-date at this point. > --------- > Matt Taylor > OS Community Flag-Bearer > Numenta > > > On Thu, May 14, 2015 at 12:51 AM, email email <[email protected]> > wrote: > > Hi, Matt, > > > > I also have the same case as Tom. My question is if I create several > models, > > do I need to write the separate swarm description and swarm.py files for > > each model and run swarm one by one? If not, how to integrate the swarm > > description and swarm files, or swarm with several description configs > in a > > parallel form? > > > > Thanks > > > > Regards, > > Richard > > > > On Thu, May 7, 2015 at 11:29 PM, Matthew Taylor <[email protected]> > wrote: > >> > >> 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 > >> > > >> > > >> > > >> > > > >
