Is there a way to shrink the size of RandomForest-class (an S4
object), so that it requires less memory during run-time and less disk
space for serialization?
On my system the data slot is about 2GB, which is causing problems,
and I'd like to see whether predict() works without it.
# example with
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 p
On Sat, Nov 5, 2011 at 2:47 PM, eric wrote:
> I'm trying to install the rdatamarket package. I did an
> install.packages('rdatamarket') command but got an error about half way
> through the install as follows:
>
> * installing *source* package ‘RCurl’ ...
> checking for curl-config... no
> Cannot
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