Hi, Could you share more details about the process that was followed to derive the parameters in the
model_params.py (Geospatial Tracking application) file. Is there a generic process that can be used for prediction on multiple fields? Thanks, Manal On Thu, Nov 13, 2014 at 10:41 PM, Matthew Taylor <[email protected]> wrote: > The swarming process optimizes for prediction on one specific field in > the input data. So it does not always produce model params that are > best for anomaly detection. Chetan used some hand-created model params > for that example application. > --------- > Matt Taylor > OS Community Flag-Bearer > Numenta > > > On Thu, Nov 13, 2014 at 9:07 AM, Manal Bhingardeve > <[email protected]> wrote: > > Hi, > > > > In the NuPIC Geospatial Tracking application example how is the > > model_params.py file obtained? Shouldn't there be a swarm file? > > > > Thanks, > > Manal > > > >
