Displaying 20 results from an estimated 2000 matches similar to: "version 4.39 of the caret package"
2010 Sep 29
0
caret package version 4.63
Version 4.63 of the caret package is now on CRAN.
caret can be used to tune the parameters of predictive models using
resampling, estimate variable importance and visualize the results.
There are also various modeling and "helper" functions that can be
useful for training models.
caret has wrappers to over 99 different models for classification
and regression. See the package vignettes
2010 Sep 29
0
caret package version 4.63
Version 4.63 of the caret package is now on CRAN.
caret can be used to tune the parameters of predictive models using
resampling, estimate variable importance and visualize the results.
There are also various modeling and "helper" functions that can be
useful for training models.
caret has wrappers to over 99 different models for classification
and regression. See the package vignettes
2009 Jun 17
1
nearZeroVar in caret fails
I am using R version 2.6.0 on Linux (CentOS 4.5) and have a problem with executing nearZeroVar function in the package caret.
I am using the latest release of caret v4.17.
I have a matrix X with 266 rows and 4 columns and when implementing nearZeroVar function from caret package I get following error message.
> C <- nearZeroVar(X);
Error in table(data, useNA = "no") :
all
2009 Jan 25
0
caret version 4.06 released
Version 4.06 of the caret package was sent to CRAN.
caret can be used to tune the parameters of predictive models using
resampling, estimate variable importance and visualize the results.
There are also various modeling and "helper" functions that can be
useful for training models. caret has wrappers to over 50 different
models for classification and regression. See the package
2009 Jan 25
0
caret version 4.06 released
Version 4.06 of the caret package was sent to CRAN.
caret can be used to tune the parameters of predictive models using
resampling, estimate variable importance and visualize the results.
There are also various modeling and "helper" functions that can be
useful for training models. caret has wrappers to over 50 different
models for classification and regression. See the package
2023 Jul 09
0
caret package
Dear all,
I am using caret package to analyze a microarray dataset with feature
selection using sbf(). My dataset is 3500 samples with 2200 genes, the
outcome Y variable is a factor of 12 levels. I used the following script to
run the feature selection:
library(caret)
ctrl <- sbfControl(functions=rfSBF, method='repeatedcv', repeats=5)
### x is a matrix of 3500x2200, y is a factor
2008 Sep 06
0
New caret packages
New major versions of the caret packages (caret 3.37, caretLSF 1.23 and
caretNWS 0.23) have been uploaded to CRAN.
caret is a package for building and evaluating a wide variety of predictive
models. There are functions for pre-processing, tuning models using
resampling, visualizing the results, calculating performance and estimating
variable importance. caretNWS and caretLSF are two parallel
2008 Sep 06
0
New caret packages
New major versions of the caret packages (caret 3.37, caretLSF 1.23 and
caretNWS 0.23) have been uploaded to CRAN.
caret is a package for building and evaluating a wide variety of predictive
models. There are functions for pre-processing, tuning models using
resampling, visualizing the results, calculating performance and estimating
variable importance. caretNWS and caretLSF are two parallel
2010 Apr 06
1
Caret package and lasso
Dear all,
I have used following code but everytime I encounter a problem of not having
coefficients for all the variables in the predictor set.
# code
rm(list=ls())
library(caret)
# generating response and design matrix
X<-matrix(rnorm(50*100),nrow=50)
y<-rnorm(50*1)
# Applying caret package
con<-trainControl(method="cv",number=10)
data<-NULL
data<- train(X,y,
2011 Mar 16
1
Specify feature weights in model prediction (CARET)
Using the 'CARET' package, is it possible to specify weights for features
used in model prediction? And for the 'knn' implementation, is there a way
to choose a distance metric (i.e. Mahalanobis distance)?
Thanks,
~Kendric
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2007 Apr 30
0
[999] branches/wxruby2/wxwidgets_282/samples/caret/caret.rb: Use paint() instead of ClientDC.new() in caret sample
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1//EN"
"http://www.w3.org/TR/xhtml11/DTD/xhtml11.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head><meta http-equiv="content-type" content="text/html; charset=utf-8" /><style type="text/css"><!--
#msg dl { border: 1px #006 solid; background: #369; padding:
2007 Apr 29
0
[981] branches/wxruby2/wxwidgets_282/samples/caret/caret.rb: Don''t call PaintDC.new; just refresh() instead of duplicating paint code
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1//EN"
"http://www.w3.org/TR/xhtml11/DTD/xhtml11.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head><meta http-equiv="content-type" content="text/html; charset=utf-8" /><style type="text/css"><!--
#msg dl { border: 1px #006 solid; background: #369; padding:
2007 Jul 16
0
[1113] trunk/wxruby2/samples/caret/caret.rb: Ensure the canvas has focus so KeyEvents are directed to it, fixing bug 10663
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1//EN"
"http://www.w3.org/TR/xhtml11/DTD/xhtml11.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head><meta http-equiv="content-type" content="text/html; charset=utf-8" /><style type="text/css"><!--
#msg dl { border: 1px #006 solid; background: #369; padding:
2007 Jul 21
0
[1130] trunk/wxruby2/swig/classes/Caret.i: Make Caret managed as object, so it is cleaned up properly when not
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1//EN"
"http://www.w3.org/TR/xhtml11/DTD/xhtml11.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head><meta http-equiv="content-type" content="text/html; charset=utf-8" /><style type="text/css"><!--
#msg dl { border: 1px #006 solid; background: #369; padding:
2007 Nov 29
0
New versions of the caret (3.08) and caretLSF (1.12) packages
New versions of the caret (3.08) and caretLSF (1.12) packages have been
released.
caret (short for "Classification And REgression Training") aims to
simplify the model building process. The package has functions for data
splitting, pre-processing and model tuning, as well as other
miscellaneous functions.
In the new versions:
- The elasticnet and the lasso (from the enet package)
2007 Nov 29
0
New versions of the caret (3.08) and caretLSF (1.12) packages
New versions of the caret (3.08) and caretLSF (1.12) packages have been
released.
caret (short for "Classification And REgression Training") aims to
simplify the model building process. The package has functions for data
splitting, pre-processing and model tuning, as well as other
miscellaneous functions.
In the new versions:
- The elasticnet and the lasso (from the enet package)
2013 Feb 13
2
CARET: Any way to access other tuning parameters?
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 parameters, e.g. sampsize, maxnodes, etc.
Is there **any** way to access these parameters using train
2023 Apr 14
1
Package Caret
What happens if you do the following?
> library(caret)
> ?caret::createDataPartition
i.e. to confirm that caret is loaded, seek help on this function
On Fri, Apr 14, 2023 at 9:56?AM G?bor Malomsoki <gmalomsoki1980 at gmail.com>
wrote:
> Eric,
>
> Yes, i know, i am calling the package, but this is not working.
> I saw a similar question in Stackoverflow, advising install
2011 May 28
0
how to train ksvm with spectral kernel (kernlab) in caret?
Hello all,
I would like to use the train function from the caret package to
train a svm with a spectral kernel from the kernlab package. Sadly
a svm with spectral kernel is not among the many methods in caret...
using caret to train svmRadial:
------------------
library(caret)
library(kernlab)
data(iris)
TrainData<- iris[,1:4]
TrainClasses<- iris[,5]
set.seed(2)
2013 Feb 19
0
CARET. Relationship between data splitting trainControl
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 interplay between trainControl and the data splitting functions in
caret