Hi Karin, yes, that is an issue! I've suggested to use compression, it helps suprisingly well in this matter (from hundreds of MB to 10s,...) Afaik it's not implemented yet.
Cheers, Mark On Thu, Dec 17, 2015 at 6:15 PM, Matthew Taylor <[email protected]> wrote: > That's not too surprising ;). The size of a saved model depends on > several things, including # of input fields, model parameters that > affect how cells connect, and how much data the model has seen. There > are thousands of connections between cells that need to be persisted > when a model is saved. I have seen serialized models be much larger > than 50MB. > --------- > Matt Taylor > OS Community Flag-Bearer > Numenta > > > On Thu, Dec 17, 2015 at 8:06 AM, Karin Valisova <[email protected]> > wrote: > > Hello! > > > > I've been playing around with serialization under opf framework and I > > noticed that when using the typical model for temporal anomaly detection > > > > > https://github.com/numenta/nupic/blob/master/examples/opf/clients/hotgym/anomaly/one_gym/model_params/rec_center_hourly_model_params.py > > > > The size of saved file gets surprisingly large ~ 50 Mb. What is the > reason > > for this? If I understand correctly, only the states of temporal and > spatial > > pooler should be enough to reload a network, right? Or am I forgetting > about > > some extra data stored? > > > > Thank you! > > Karin > > -- Marek Otahal :o)
