Häring, Tim (LWF) wrote:
Hi list,
I´m working on a predictive modeling task using the caret package.
I found the best model parameters using the train() and trainControl() command.
Now I want to evaluate my model and make predictions on a test dataset. I tried
to follow the instructions in the manual and the vignettes but unfortunately
I´m getting an error message I can`t figure out.
Here is my code:
rfControl <- trainControl(method = "oob", returnResamp = "all",
returnData=TRUE, verboseIter = TRUE)
rftrain <- train(x=train_x, y=trainclass, method="rf", tuneGrid=tuneGrid,
tr.control=rfControl)
pred <- predict(rftrain)
pred # this works fine
expred <- extractPrediction(rftrain)
Error in models[[1]]$trainingData :
$ operator is invalid for atomic vectors
I cannot reproduce it (not having your data) and I doubt you are using
the most recent version which is 3.51.
Anyway, *if* it is a bug, then please report to the package maintainer.
Best,
Uwe Ligges
My predictors are 28 numeric attributes and one factor.
I`m working with the latest version of caret and R 2.7.2 on WinXP.
Any advice is very welcome.
Thanks.
TIM
-------------------------------------------------------------------------------
Dipl.-Geogr. Tim Häring
Sachgebiet Standort und Bodenschutz (SG 2.1)
Bayerische Landesanstalt für Wald und Forstwirtschaft
Am Hochanger 11
D-85354 Freising
Tel.: +49-(0)8161/71-4769
E-Mail: tim.haer...@lwf.bayern.de
http://www.lwf.bayern.de
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