Ah, yes. Good you did. The licensing had all the attention.
The following is completely untested, but should get you going (and with
some luck, just work as it is)
from rpy2.robjects.packages import importr
base = importr('base')
nnet = importr('nnet')
# load: the side effect is to populate the R global environment
# with whatever in the file. I am assuming that 'err_net' comes from it.
base.load('err_net.RData')
from rpy2.robjects import globalenv
err_net = globalenv['err_net']
y = nnet.predict(err_net, x)
On 12/02/2013 01:47 PM, Alessandro Gagliardi wrote:
I didn't get a response last week so I figured I should try again:
How do I load a nnet model from a file in rpy2?
Thanks,
-Alessandro
From: Alessandro <alessandro.gaglia...@glassdoor.com
<mailto:alessandro.gaglia...@glassdoor.com>>
Date: Friday, November 22, 2013 4:27 PM
To: "rpy-list@lists.sourceforge.net
<mailto:rpy-list@lists.sourceforge.net>"
<rpy-list@lists.sourceforge.net <mailto:rpy-list@lists.sourceforge.net>>
Subject: load nnet in rpy2
Hi all,
I created a nnet model called err_net in R that I've saved in
err_net.RData which I'd like to employ programmatically in a python
module. If I were to do it in IPython Notebook using rmagic I might
have a cell that look something like:
%%R -i x -o y
library(nnet)
load('err_net.RData')
y <- predict(err_net, x)
What would be the best way to do this without relying on magics?
Thanks in advance,
-Alessandro
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