Re: [R] Cforest mincriterion

le? I will stick to other "testype"s as a work around for this. Thanks again, Matt On 27 July 2010 16:34, Achim Zeileis wrote: > On Tue, 27 Jul 2010, Matthew OKane wrote: > > Hi, >> >> Could anyone help me understand how the mincriterion threshold works in &g

[R] Cforest mincriterion

Hi, Could anyone help me understand how the mincriterion threshold works in ctree and cforest of the party package? I've seen examples which state that to satisfy the p < 0.05 condition before splitting I should use mincriterion = 0.95 while the documentation suggests I should use mincriterion =

[R] Stacked Restricted Boltzmann Machine

Hi, Are there any implementations of stacked RBMs either complete or planned in R? Thanks, Matthew [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the postin

Re: [R] Cforest and Random Forest memory use

Answers added below. Thanks again, Matt On 11 June 2010 14:28, Max Kuhn wrote: > Also, you have not said: > > - your OS: Windows Server 2003 64-bit > - your version of R: 2.11.1 64-bit > - your version of party: 0.9-9995 > > - your code: test.cf <-(formula=badflag~.,data = > example,cont

[R] Cforest and Random Forest memory use

Hi all, I'm having great trouble working with the Cforest (from the party package) and Random forest functions. Large data set seem to create very large model objects which means I cannot work with the number of observations I need to, despite running on a large 8GB 64-bit box. I would like the