[R] RandomForest, Party and Memory Management
Jeff Newmiller
jdnewmil at dcn.davis.CA.us
Sun Feb 3 21:28:48 CET 2013
Neither of your questions meets the Posting Guidelines (see footer of any email).
1) Not reproducible. [1]
2) Very operating-system specific and a FAQ. You have not indicated what your OS is (via sessionInfo), nor what reading you have done to address memory problems already (use a search engine... or begin with the FAQs in R help or on CRAN).
[1] http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
---------------------------------------------------------------------------
Jeff Newmiller The ..... ..... Go Live...
DCN:<jdnewmil at dcn.davis.ca.us> Basics: ##.#. ##.#. Live Go...
Live: OO#.. Dead: OO#.. Playing
Research Engineer (Solar/Batteries O.O#. #.O#. with
/Software/Embedded Controllers) .OO#. .OO#. rocks...1k
---------------------------------------------------------------------------
Sent from my phone. Please excuse my brevity.
Lorenzo Isella <lorenzo.isella at gmail.com> wrote:
>Dear All,
>For a data mining project, I am relying heavily on the RandomForest and
>
>Party packages.
>Due to the large size of the data set, I have often memory problems (in
>
>particular with the Party package; RandomForest seems to use less
>memory).
>I really have two questions at this point
>1) Please see how I am using the Party and RandomForest packages. Any
>comment is welcome and useful.
>
>
>
>myparty <- cforest(SalePrice ~ ModelID+
> ProductGroup+
> ProductGroupDesc+MfgYear+saledate3+saleday+
> salemonth,
> data = trainRF,
>control = cforest_unbiased(mtry = 3, ntree=300, trace=TRUE))
>
>
>
>
>rf_model <- randomForest(SalePrice ~ ModelID+
> ProductGroup+
> ProductGroupDesc+MfgYear+saledate3+saleday+
> salemonth,
> data = trainRF,na.action = na.omit,
> importance=TRUE, do.trace=100, mtry=3,ntree=300)
>
>2) I have another question: sometimes R crashes after telling me that
>it
>is unable to allocate e.g. an array of 1.5 Gb.
>However, I have 4Gb of ram on my box, so...technically the memory is
>there, but is there a way to enable R to use more of it?
>
>Many thanks
>
>Lorenzo
>
>______________________________________________
>R-help at r-project.org mailing list
>https://stat.ethz.ch/mailman/listinfo/r-help
>PLEASE do read the posting guide
>http://www.R-project.org/posting-guide.html
>and provide commented, minimal, self-contained, reproducible code.
More information about the R-help
mailing list