Hi Phil, Multiple inputs are pretty easy with the OPF (i.e. the CLAModel). For example, hotgym <https://github.com/numenta/nupic/blob/master/examples/opf/clients/hotgym/simple/model_params.py#L66> uses the timestamp and the current power consumption.
For multi-level models, you'll probably want to use the Network API. Subutai gave a recent talk: https://www.youtube.com/watch?v=g9yS9zFt3dM . Here's a demo that uses multiple levels: https://github.com/numenta/nupic/blob/master/examples/network/hierarchy_network_demo.py Strictly speaking, from the Network API's perspective, the CLAModel only has one input, since it concatenates <https://github.com/numenta/nupic/blob/master/src/nupic/frameworks/opf/clamodel.py#L1108> the encodings via a MultiEncoder, but that's just an implementation detail. I recently created a demo that puts multiple inputs into a Network: https://github.com/numenta/nupic/blob/master/examples/network/core_encoders_demo.py Hope that helps! Marcus On Sun, Mar 27, 2016 at 10:06 PM, Phil Goddard <[email protected]> wrote: > > I'm looking for an example (or examples) of using NuPIC with either (or > both of) multiple inputs and multiple levels. > > > With multiple inputs, the nearest example I can find is the NY Taxi > example. > > However the technical paper I have indicates that the 3 inputs are > aggregated into one input (via competitive polling) before being fed into > the model. > > Can anyone tell me if it possible to have multiple inputs? > > Or do multiple inputs have to be processed into one input as per that > example? > > > I can't find the code for the NY taxi example (in the NuPIC GitHub > repository). > > Is it available, and if so where? > > > Also, is it possible to develop multi-level models? > > If anyone can point me at any technical description of such models, or a > code example, I'd appreciate it. > > > thanks > > Phil. > > > > >
