That would be here: HTM.java <https://github.com/numenta/htm.java> ! :-)
Just being funny, but quite possibly true! I think the temporal_memory.py runs the new C++ TM underneath, and so for Python - it might be the fastest because the algorithm has just been updated to process things more efficiently... But the Numenta engineers can confirm this. Cheers, David On Tue, May 10, 2016 at 7:36 AM, 박진만 <[email protected]> wrote: > Hello Nupic, I saw that there are many versions of SP, TP and CLA in nupic > library. > > For example, there are many TP versions; TP.py, TP10X2.py, > temporal_memory.py.. etc. > > What I want to know is that which one is the fastest one among those TP > implementations. > > I want to use the fastest one because I want to deal with a big amount of > data. > > Can you tell me the most useful and the fastest SP, TP, and CLA > implementation codes? > > thank you. > > > -- *With kind regards,* David Ray Java Solutions Architect *Cortical.io <http://cortical.io/>* Sponsor of: HTM.java <https://github.com/numenta/htm.java> [email protected] http://cortical.io
