R help - Jan 2011 - real time R

Hi,

We're using R in an application where asking for a probability of an
event takes about 130ms.

What could we do to take that down to 30ms-40ms? The query code uses
randomforest, knn.

-- 
M.

On 05.01.2011 17:10, Marcelo Barbudas wrote:
> Hi,
>
> We're using R in an application where asking for a probability of an
> event takes about 130ms.
 >
> What could we do to take that down to 30ms-40ms? The query code uses
> randomforest, knn.
>

Use a machine that is 4 times faster?

Otherwise: Use another method or a more efficient implementation. Don't 
use R at all if you want _guaranteed_ real time processing.

Uwe Ligges

On Wed, Jan 5, 2011 at 4:10 PM, Marcelo Barbudas <nostef at gmail.com>
wrote:
> Hi,
>
> We're using R in an application where asking for a probability of an
> event takes about 130ms.
>
> What could we do to take that down to 30ms-40ms? The query code uses
> randomforest, knn.
>
 That's a fairly vague question.... So some vague answers:

 Firstly, profile your query to identify bottlenecks and then
concentrate your effort on removing them. Anything else is a waste of
time.

 Secondly, get a faster computer - whether that means faster CPU,
faster hard disks, faster RAM depends on where the bottleneck is in
your process. Or get parallel and use multiple CPUs. Or rewrite in C.
Or machine code. Or do it on a GPU.

 Thirdly, give us something more specific! Like examples perhaps?

Barry