Yes Subutai, that’s exactly what I’m looking for. Most of my thesis has been about using HTM in more traditional machine learning tasks (clustering, spatial classification, temporal classification, …) which, since it’s not directly designed for, haven’t worked out quite the way I expected. So to wrap up the thesis, I wanted to highlight HTM’s strength which I understand to be its predictive and anomaly driven (online) behavior. That’s what I’m hoping to get out of NAB.
best, Nick > On Mar 1, 2015, at 7:46 PM, Subutai Ahmad <[email protected]> wrote: > > Hi Nick, > > Note that NAB does not do classification - it just does anomaly detection in > real time scenarios. I think temporal classification with HTMs is an area of > research (we haven't done much with classification at Numenta and > unfortunately we don't have clear worked out examples). > > --Subutai > > > On Sun, Mar 1, 2015 at 9:26 AM, Nicholas Mitri <[email protected] > <mailto:[email protected]>> wrote: > Thanks Subutai! You mentioned the project to me in a pervious exchange but I > couldn’t find it. > I’ll have a look at the code. > HTM didn’t perform too well in a set of classification experiments I prepared > for my thesis so I really wanted to showcase it doing what it does best. > Unfortunately, I only had the hot gym example which I don’t think offers > enough insight into how HTM can be put to the best use. Hopefully, the NAB > project can offer a better alternative. > > Thanks again, > Nick > > >> On Mar 1, 2015, at 7:18 PM, Subutai Ahmad <[email protected] >> <mailto:[email protected]>> wrote: >> >> Hi Nick, >> >> Are you referring to NAB (Numenta Anomaly Benchmark)? The code for it is >> here: >> >> https://github.com/numenta/NAB <https://github.com/numenta/NAB> >> >> The purpose of NAB is to establish a benchmark for real time anomaly >> detection. One of the goals is to include actual real-world sensor data with >> labeled anomalies. We’re at an “alpha” stage right now so it is not fully >> complete but you can look through it (there’s a doc on the wiki). >> >> NAB is not specific to Numenta. We’ve included Skyline (a popular open >> source anomaly detection algorithm) but we hope over time people will add >> other algorithms. >> >> It’s not fully ready yet but I’m happy to go over details in the next office >> hour if there is interest. We could really use help from anyone who can >> provide real sensor/machine data with anomalies. >> >> —Subutai >> >> >> >> On Fri, Feb 27, 2015 at 3:31 PM, Nicholas Mitri <[email protected] >> <mailto:[email protected]>> wrote: >> Hey all, >> >> There was talk of an ongoing project to benchmark HTM against a set of >> algorithms. >> Any updates on that? >> >> I’d be interested to see what algorithms the Numenta team finds comparable >> to HTM. >> >> best, >> Nick >> > >
