Hello:
I am using the gbm package and want to save the model returned after calling
the function gbm via rpy2. For example,
r.library('gbm')
gbm = robjects.r['gbm']
myModel = gbm(data)
My question is, how can I save myModel such that I can later reload it in
python and it is useable (for example, to send as an argument to other R
functions, such as predict())? I get an error if I use:
r.save(mymodel, file=datafile)
and if I pickle myModel directly in python it turns out to be a very small file
size (it should be very large).
Any ideas?
Thanks
John
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