I see. I changed the code to the following and it worked!
import rpy2
import rpy2.robjects as robj
robj.packages.importr("kernlab")
robj.r.load("MPDR.training_size2000.RData")
model = robj.globalenv["model"]
outcome = robj.r.predict(model)
Many thanks!
--Elizabeth
On Sun, Apr 1, 2012 at 10:59 PM
On 2012-04-02 03:07, Elizabeth Tseng wrote:
Hi,
I've just started using rpy/rpy2. I have a SVM model trained using the
kernlab package. I stored the model in a R file called
"MPDR.training_size2000.RData" (so if I call 'load' in R, the object
'model' is the trained model).
I'm trying to loa
Hi,
I've just started using rpy/rpy2. I have a SVM model trained using the
kernlab package. I stored the model in a R file called
"MPDR.training_size2000.RData" (so if I call 'load' in R, the object
'model' is the trained model).
I'm trying to load the model through rpy2, then run predict() on it
