I guess you aren't doing lots of random forests. RFs training is the best way to turn my PC into a heater.
Phil Phil Le 15 oct. 2015 14:19, "Esteban Lorenzano" <[email protected]> a écrit : > yeah but if this is a special case there is no problems on doing FFI > bindings and using an external library. > Precisely for that is FFI. > > not that we have to integrate everything into the image :) > > but… I would not be so fast in assume pharo performance will not be > enough. Unique form to know it is to do it and then see how you can > optimise, if needed :) > > Esteban > > On 15 Oct 2015, at 09:51, stepharo <[email protected]> wrote: > > We do not want to be bound to install and maintain connection with fifteen > different libs. > > Stef > > Le 14/10/15 18:01, [email protected] a écrit : > > Not sure you would get enough performance on Pharo per se. Xe may be > better off leveraging a multicore enabled external lib. Like caret and doMC > on R. > Le 14 oct. 2015 17:49, "Serge Stinckwich" <[email protected]> a > écrit : > >> I don't think so. >> >> I followup your message on SciSmalltalk mailing-list. >> This is something that might interested us ;-) >> >> >> >> On Wed, Oct 14, 2015 at 4:54 PM, Damien Cassou < <[email protected]> >> [email protected]> wrote: >> > Hi, >> > >> > did anyone implement a Random Forest algorithm in Pharo? >> > >> > https://en.wikipedia.org/wiki/Random_forest >> > >> > -- >> > Damien Cassou >> > http://damiencassou.seasidehosting.st >> > >> > "Success is the ability to go from one failure to another without >> > losing enthusiasm." --Winston Churchill >> > >> >> >> >> -- >> Serge Stinckwich >> UCBN & UMI UMMISCO 209 (IRD/UPMC) >> Every DSL ends up being Smalltalk >> http://www.doesnotunderstand.org/ >> >> > >
