There are many posts concerning a memory leak in rpy2, and I have to say
that it's also affecting me.
But fortunately, after losing a couple of days on this problem, I found
this webpage that kind of solve my problem:
http://code.activestate.com/recipes/511474/
The solution is to wrap the work
Hi,
I'm using Rpy2 and I'm trying to save a trained "glm" model, using the R
"save" function.
Unfortunately, it fails...
By example, running the following dummy example:
---
import rpy2.robjects as ro
import rpy2.rl
Hi all,
I'm using Rpy2 to train a logistic regressor (using the "glm" function
in R), and I need to save the model for futher use.
I naively try to use pickle, but I have an error message:
import rpy2.robjects as robjects
fit = robjects.r.glm(formula=f, family=robjects.r.binomial(), data=data)
o
