Use "Rprof" to determine where time is being spent. This might point out some problems in the code.
On Wed, Jun 30, 2010 at 7:53 PM, Mike Williamson <this.is....@gmail.com> wrote: > Hi all, > > I am using the package "random forest" for random forest predictions. I > like the package. However, I have fairly large data sets, and it can often > take *hours* just to go through the "na.roughfix" call, which simply goes > through and cleans up any NA values to either the median (numerical data) or > the most frequent occurrence (factors). > I am going to start doing some comparisons between na.roughfix() and > some apply() functions which, it seems, are able to do the same job more > quickly. But I hesitate to duplicate a function that is already in the > package, since I presume the na.roughfix should be as quick as possible and > it should also be well "tailored" to the requirements of random forest. > > Has anyone else seen that this is really slow? (I haven't noticed > rfImpute to be nearly as slow, but I cannot say for sure: my "predict" data > sets are MUCH larger than my model data sets, so cleaning the prediction > data set simply takes much longer.) > If so, any ideas how to speed this up? > > Thanks! > Mike > > > > "Telescopes and bathyscaphes and sonar probes of Scottish lakes, > Tacoma Narrows bridge collapse explained with abstract phase-space maps, > Some x-ray slides, a music score, Minard's Napoleanic war: > The most exciting frontier is charting what's already here." > -- xkcd > > -- > Help protect Wikipedia. Donate now: > http://wikimediafoundation.org/wiki/Support_Wikipedia/en > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@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. > -- Jim Holtman Cincinnati, OH +1 513 646 9390 What is the problem that you are trying to solve? ______________________________________________ R-help@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.
