up on stack exchange too.
Max
On Tue, Mar 5, 2013 at 9:47 PM, James Jong ribonucle...@gmail.com wrote:
The following code fails to train a nnet model in a random dataset using
caret:
nR - 700
nCol - 2000
myCtrl - trainControl(method=cv, number=3, preProcOptions=NULL,
classProbs
The following code fails to train a nnet model in a random dataset using
caret:
nR - 700
nCol - 2000
myCtrl - trainControl(method=cv, number=3, preProcOptions=NULL,
classProbs = TRUE, summaryFunction = twoClassSummary)
trX - data.frame(replicate(nR, rnorm(nCol)))
trY -
I have carefully read the CARET documentation at:
http://caret.r-forge.r-project.org/training.html, the vignettes, and
everything is quite clear (the examples on the website help a lot!), but I
am still a confused about the relationship between two arguments to
trainControl:
method
index
and the
:
http://caret.r-forge.r-project.org/training.html
Max
On Wed, Feb 13, 2013 at 9:58 AM, James Jong ribonucle...@gmail.comwrote:
The documentation for caret::train shows a list of parameters that one
can
tune for each method classification/regression method. For example, for
the method
What is the function call interface for predict in the package party for
cforest? I am looking at the documentation (the vignette) and ?cforest and
from the examples I see that one can call the function predict on a cforest
classifier. The method predict seems to be a method of the class
The documentation for caret::train shows a list of parameters that one can
tune for each method classification/regression method. For example, for
the method randomForest one can tune mtry in the call to train. But the
function call to train random forests in the original package has many
other
/training.html
Max
On Wed, Feb 13, 2013 at 9:58 AM, James Jong ribonucle...@gmail.comwrote:
The documentation for caret::train shows a list of parameters that one can
tune for each method classification/regression method. For example, for
the method randomForest one can tune mtry in the call to train
When I try to crate a grid of parameters for training with caret I get
various errors:
my_grid - createGrid(rf)
Error in if (p = len) { : argument is of length zero
my_grid - createGrid(rf, 4)
Error in if (p = len) { : argument is of
That was the problem. Thanks David!
James
On Tue, Feb 12, 2013 at 2:08 PM, David Winsemius dwinsem...@comcast.netwrote:
On Feb 12, 2013, at 10:53 AM, James Jong wrote:
When I try to crate a grid of parameters for training with caret I get
various errors
I was wondering if anyone knows of a random forest implementation (or way
of tweaking the standard randomForest library) that allows one to specify
some sort of variable importance a* *priori.
For example, say that I know that some variables/factors could be more
informative than others for
I am trying to get statistics of prediction for binary classification
problems and for various training models with caret. Below is an example
that illustrates my need:
--
library(caret)
# ... Get X and Y for training a binary classification problem. X is
I have a binary classification problem where the fraction of positives is
very low, e.g. 20 positives in 10,000 examples (0.2%)
What is an appropriate cross validation scheme for training a classifier
with very few positives?
I currently have the following setup:
Hi there. I am relatively new to R and to the community. I have previously
asked my R questions at R-help (through Nabble, not sure if there is a better
way other than Nabble or regular email), and StackOverflow with the [R] tag.
I have some questions that are somewhat specific about the
What is the purpose of the variable R_HOME? What value should I set it to?
Thanks,
James
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R-help@r-project.org mailing list
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PLEASE do read the posting guide
Hi - I am having trouble installing rpy2. I have already compiled R as a
shared library, but I do not have admin privileges on so I am trying to
install rpy2 with:
pip install -user rpy2
but I am getting the following error:
I looked at the documentation of source() and summary(), and I could not
find the reason why calling something like:
summary(resamps)
from the command line, works (it prints the summary)
whereas calling
summary(resampls)
from a file that I source with source(my_file.r) does not print
I have an environment variable `$R_HISTFILE` pointing to
`/home/my.username/.RHistory` and the following code in my `.Rprofile` in
my home directory:
.Last - function() {
if (!any(commandArgs()=='--no-readline') interactive()){
require(utils)
)
nord...@dshs.wa.gov wrote:
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
project.org] On Behalf Of John Kane
Sent: Thursday, February 07, 2013 10:57 AM
To: James Jong; r-help@r-project.org
Subject: Re: [R] Sourcing my file does not print command
Say I train a model in caret, e.g.:
RFmodel - train(X,Y,method='rf',trControl=myCtrl,tuneLength=1)
How can I save this to disk and load it later in R?
How about an object of the class resamples?
resamps - resamples(
list( RF = RFmodel,
SVM = SVMmodel,
-5204
From: James Jong [mailto:ribonucle...@gmail.com]
Sent: Thursday, February 07, 2013 1:30 PM
To: Nordlund, Dan (DSHS/RDA)
Cc: r-help@r-project.org
Subject: Re: [R] Sourcing my file does not print command outputs
Thanks. Interestingly I am having the same problem with
dotplot(resamps
-and-**loading-a-model-in-rhttp://stackoverflow.com/questions/14761496/saving-and-loading-a-model-in-r
Best,
Stephan
On 07.02.2013 22:33, James Jong wrote:
Say I train a model in caret, e.g.:
RFmodel - train(X,Y,method='rf',**trControl=myCtrl,tuneLength=1)
How can I save this to disk and load
What are the *RDS counterparts? What is the difference?
James
On Thu, Feb 7, 2013 at 5:00 PM, Michael Weylandt michael.weyla...@gmail.com
wrote:
On Feb 7, 2013, at 9:51 PM, James Jong ribonucle...@gmail.com wrote:
Thanks Stephan. I can't believe I didn't try that first. I greatly
.
** **
Dan
** **
Daniel J. Nordlund
Washington State Department of Social and Health Services
Planning, Performance, and Accountability
Research and Data Analysis Division
Olympia, WA 98504-5204
** **
*From:* James Jong [mailto:ribonucle...@gmail.com
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