Hi Nicolas, Yeah, 913 years might be too long! Can you email the model params file you are using? I could look at that and try to suggest some changes.
However, 10 msecs per data point is not too bad for the HTM. It might be hard to get too much faster! --Subutai On Tue, Oct 21, 2014 at 1:45 PM, Nicolas Thiébaud <[email protected]> wrote: > Hi, > > What are the parameters we can tune to train and predict faster. I am > seeing ingestion speed without learning at 100 scalar points points per > second. > > If I downsample my input data (EEG) to 100Hz which is a minimum acceptable > and using a 16 core amazon instance, I would need 913 years (not corrected > for Moore's law). > > Which model params should I try to tune? > > Thank you for the help, > > Nicolas. >
