Is there a place to an old version (GBM 1.6 or 2.0) of the Windows 64-bit binary for the GBM package? In GBM 2.1, CV does not work on any of my data sets, so I reported it to https://code.google.com/p/gradientboostedmodels/ . However, I would like to soon continue to use GBM for a project, and I prefer not to set up a build environment on Windows to build from source. Andrew
On May 20, 2013, at 2:24 PM, Andrew Z wrote:> Is there a place to an old version (GBM 1.6 or 2.0) of the Windows > 64-bit binary for the GBM package? > > In GBM 2.1, CV does not work on any of my data sets, so I reported it > to https://code.google.com/p/gradientboostedmodels/ . However, I would > like to soon continue to use GBM for a project, and I prefer not to > set up a build environment on Windows to build from source. >Several mirrors have old binaries. This happens to be the one closest to me: http://cran.cnr.berkeley.edu/web/packages/ http://cran.cnr.berkeley.edu/bin/windows/contrib http://cran.cnr.berkeley.edu/bin/windows/contrib/2.14/gbm_2.0-8.zip Go Bears! -- David Winsemius Alameda, CA, USA
On 20.05.2013 23:24, Andrew Z wrote:> Is there a place to an old version (GBM 1.6 or 2.0) of the Windows > 64-bit binary for the GBM package? > > In GBM 2.1, CV does not work on any of my data sets, so I reported it > to https://code.google.com/p/gradientboostedmodels/ . However, I would > like to soon continue to use GBM for a project, and I prefer not to > set up a build environment on Windows to build from source.At least CRAN does not keep copies of old binaries, there is a version 2.0-8 for R-2.14.x, and version 1.6-3.1 for R-2.13.x, but hese R versions are rather ancient, hence I'd suggest to try to learn how to install from sources, in most cases it is not too hard. Or ask the maintainer for a fix again so that we see a proper update on CRAN soon. Best, Uwe Ligges> > Andrew > > ______________________________________________ > 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. >