[R] How do I make R randomForest model size smaller?

2012-12-03 Thread John Foreman
I've been training randomForest models on 7 million rows of data (41 features). Here's an example call: myModel <- randomForest(RESPONSE~., data=mydata, ntree=50, maxnodes=30) I thought surely with only 50 trees and 30 terminal nodes that the memory footprint of "myModel" would be small. But it's

Re: [R] randomForest memory footprint

2011-09-08 Thread John Foreman
Message- >> From: r-help-boun...@r-project.org >> [mailto:r-help-boun...@r-project.org] On Behalf Of John Foreman >> Sent: Wednesday, September 07, 2011 2:46 PM >> To: r-help@r-project.org >> Subject: [R] randomForest memory footprint >> >> Hello, I am att

[R] randomForest memory footprint

2011-09-07 Thread John Foreman
Hello, I am attempting to train a random forest model using the randomForest package on 500,000 rows and 8 columns (7 predictors, 1 response). The data set is the first block of data from the UCI Machine Learning Repo dataset "Record Linkage Comparison Patterns" with the slight modification that I