Hi Nagaraj, I added some informations in the following page:
http://cwiki.apache.org/confluence/display/MAHOUT/Partial+Implementation make sure to use the latest trunk code If you have any suggestion let me know =P Deneche --- En date de : Mer 30.12.09, Nagaraj K <[email protected]> a écrit : > De: Nagaraj K <[email protected]> > Objet: Re: Re : PartialData Random Forest usage. > À: [email protected] > Date: Mercredi 30 Décembre 2009, 9h08 > Thanks a lot, looking forward for the > change. > > On Wed, Dec 30, 2009 at 1:23 PM, deneche abdelhakim <[email protected]> > wrote: > > Hi Nagaraj, > > > > the partial data implementation of Decision Forest is > still a "work in progress", the next code update (wich I > hope will come next week) should improve the accuracy of the > generated classifier and fix a bug related to categorical > attributes. And yes, I'll add some documentation about using > the partialdata imp. > > > > --- En date de : Mar 29.12.09, Nagaraj K <[email protected]> > a écrit : > > > >> De: Nagaraj K <[email protected]> > >> Objet: PartialData Random Forest usage. > >> À: [email protected] > >> Date: Mardi 29 Décembre 2009, 17h46 > >> Hi, > >> > >> I am trying to use the partialdata mapreduce > Random Forests > >> feature > >> from the latest svn branch. > >> https://issues.apache.org/jira/browse/MAHOUT-145 > >> Our data has ~ 100-200M points with 8-10 > categorical > >> attributes. I > >> tried looking for a sample usage for this > map-reduce > >> version, but > >> could not get all the parameters. > >> > >> Could you please let me know, if there is any > documentation > >> or code > >> available on this. > >> > >> -- > >> Thanks, > >> Nagaraj K > >> > > > > > > > > > > > > -- > Thanks, > Nagaraj K >
