Thank you all. I think that you two are talking about the same version.
I'm not familiar with coding C++, so I prefer to use python language.
Then can I use the fastest TP if I include temporal_memory.py like this:
from nupic.research.temporal_memory import TemporalMemory
Or Should I use C++ language to use the fastest TP?
(Can you tell me how to include the fastest TP version?)
Also, can you tell me the fastest SP and CLA version and how to include
them?
Thank you for answering my questions so kindly.
2016-05-11 0:27 GMT+09:00 Matthew Taylor <[email protected]>:
> Marcus has been making some really great performance improvements to
> the C++ TM, and claims it is now faster than the fastest version of
> the old TP algorithms.
>
> If you want speed, I believe your best bet is to use NuPIC and the
> tm_cpp implementation.
> ---------
> Matt Taylor
> OS Community Flag-Bearer
> Numenta
>
>
> On Tue, May 10, 2016 at 6:57 AM, cogmission (David Ray)
> <[email protected]> wrote:
> > That would be here: 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
> > Sponsor of: HTM.java
> >
> > [email protected]
> > http://cortical.io
>
>
