Displaying 20 results from an estimated 200 matches similar to: "CARET. Relationship between data splitting trainControl"
2011 Oct 02
1
difference between createPartition and createfold functions
Hello,
I'm trying to separate my dataset into 4 parts with the 4th one as the
test dataset, and the other three to fit a model.
I've been searching for the difference between these 2 functions in
Caret package, but the most I can get is this--
A series of test/training partitions are created using
createDataPartition while createResample creates one or more bootstrap
samples.
2011 May 05
1
[caret package] [trainControl] supplying predefined partitions to train with cross validation
Hi all,
I run R 2.11.1 under ubuntu 10.10 and caret version 2.88.
I use the caret package to compare different models on a dataset. In
order to compare their different performances I would like to use the
same data partitions for every models. I understand that using a LGOCV
or a boot type re-sampling method along with the "index" argument of
the trainControl function, one is able to
2012 Jul 12
1
Caret: Use timingSamps leads to error
I want to use the caret package and found out about the timingSamps
obtion to obtain the time which is needed to predict results. But, as
soon as I set a value for this option, the whole model generation fails.
Check this example:
-------------------------
library(caret)
tc=trainControl(method='LGOCV', timingSamps=10)
tcWithout=trainControl(method='LGOCV')
2013 Feb 10
1
Training with very few positives
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:
========================================
library(caret)
tmp <- createDataPartition(Y, p = 9/10, times = 3, list = TRUE)
2012 Nov 23
1
caret train and trainControl
I am used to packages like e1071 where you have a tune step and then pass your tunings to train.
It seems with caret, tuning and training are both handled by train.
I am using train and trainControl to find my hyper parameters like so:
MyTrainControl=trainControl(
method = "cv",
number=5,
returnResamp = "all",
classProbs = TRUE
)
rbfSVM <- train(label~., data =
2013 Feb 07
0
FW: Sourcing my file does not print command outputs
Forgot to send to R-help
From: Nordlund, Dan (DSHS/RDA)
Sent: Thursday, February 07, 2013 2:09 PM
To: 'James Jong'
Subject: RE: [R] Sourcing my file does not print command outputs
James,
Your code seems to have ‘…’ sitting on a line all by itself (maybe should be at the end of the preceding comment? Anyway, when I eliminated that problem and sourced the script using the following call
2013 Mar 02
2
caret pls model statistics
Greetings,
I have been exploring the use of the caret package to conduct some plsda
modeling. Previously, I have come across methods that result in a R2 and
Q2 for the model. Using the 'iris' data set, I wanted to see if I could
accomplish this with the caret package. I use the following code:
library(caret)
data(iris)
#needed to convert to numeric in order to do regression
#I
2023 May 08
1
RandomForest tuning the parameters
Dear R-experts,
Here below a toy example with some error messages, especially at the end of the code (Tuning the parameters). Your help to correct my R code would be highly appreciated.
#######################################
#libraries
library(lattice)
library(ggplot2)
library(caret)
library(randomForest)
??
#Data
2023 May 09
1
RandomForest tuning the parameters
Hi Sacha,
On second thought, perhaps this is more the direction that you want ...
X2 = cbind(X_train,y_train)
colnames(X2)[3] = "y"
regr2<-randomForest(y~x1+x2, data=X2,maxnodes=10, ntree=10)
regr
regr2
#Make prediction
predictions= predict(regr, X_test)
predictions2= predict(regr2, X_test)
HTH,
Eric
On Tue, May 9, 2023 at 6:40?AM Eric Berger <ericjberger at gmail.com>
2012 May 30
1
caret() train based on cross validation - split dataset to keep sites together?
Hello all,
I have searched and have not yet identified a solution so now I am sending
this message. In short, I need to split my data into training, validation,
and testing subsets that keep all observations from the same sites together
? preferably as part of a cross validation procedure. Now for the longer
version. And I must confess that although my R skills are improving, they
are not so
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
2023 Apr 14
1
Package Caret
Or is there any similar function to split the dataframe to trainDF and
testDF?
G?bor Malomsoki <gmalomsoki1980 at gmail.com> schrieb am Fr., 14. Apr. 2023,
09:45:
>
> This is the error then:
> error in prettyseq(1:ncol(out)) : could not find function "prettyseq"
>
>
>
>
> Eric Berger <ericjberger at gmail.com> schrieb am Fr., 14. Apr. 2023, 09:06:
2023 Apr 14
2
Package Caret
This is the error then:
error in prettyseq(1:ncol(out)) : could not find function "prettyseq"
Eric Berger <ericjberger at gmail.com> schrieb am Fr., 14. Apr. 2023, 09:06:
> 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
2023 Apr 16
1
Package Caret
I have newly installed R, R-tools, RStudio, but still not working:
library(caret)Lade n?tiges Paket: latticeError: Laden von Paket oder
Namensraum f?r ?caret? in loadNamespace(i, c(lib.loc, .libPaths()),
versionCheck = vI[[i]]): fehlgeschlagen
Namensraum ?vctrs? 0.5.2 ist bereits geladen, aber >= 0.6.0 wird gefordert
Error in createDataPartition(hypotezis_df$X, p = 0.75, list = FALSE,
times
2023 Apr 14
1
Package Caret
Eric,
Yes, i know, i am calling the package, but this is not working.
I saw a similar question in Stackoverflow, advising install package Rcpp,
but this one i am unable to install.
Eric Berger <ericjberger at gmail.com> schrieb am Fr., 14. Apr. 2023, 08:47:
> You first have to load the package using the library command.
> > library(caret)
>
> Then you can call
2023 Apr 16
1
Package Caret
So update the vctrs package to the latest version first before loading
R-tools (or the caret package, specifically)?
-- Bert
On Sun, Apr 16, 2023 at 1:57?PM G?bor Malomsoki
<gmalomsoki1980 at gmail.com> wrote:
>
> I have newly installed R, R-tools, RStudio, but still not working:
>
> library(caret)Lade n?tiges Paket: latticeError: Laden von Paket oder
> Namensraum f?r
2023 Apr 14
1
Package Caret
You first have to load the package using the library command.
> library(caret)
Then you can call createDataPartition. e.g.
> data(oil)
> createDataPartition(oilType,2)
HTH,
Eric
On Fri, Apr 14, 2023 at 7:52?AM G?bor Malomsoki <gmalomsoki1980 at gmail.com>
wrote:
> Dear all,
> When i try to use createDataPartition after calling package 'caret', i get
> the
2023 Apr 14
1
Package Caret
You should post the result of running sessionInfo(), and tell us how you
installed R. Your installation seems very broken.
Duncan Murdoch
On 14/04/2023 3:45 a.m., G?bor Malomsoki wrote:
> This is the error then:
> error in prettyseq(1:ncol(out)) : could not find function "prettyseq"
>
>
>
>
> Eric Berger <ericjberger at gmail.com> schrieb am Fr., 14.
2023 Apr 16
2
Package Caret
Many thanks Bert, now is ok, i did not know that "Namensraum" should mean
a package
Am So., 16. Apr. 2023 um 23:44 Uhr schrieb Bert Gunter <
bgunter.4567 at gmail.com>:
> So update the vctrs package to the latest version first before loading
> R-tools (or the caret package, specifically)?
>
> -- Bert
>
> On Sun, Apr 16, 2023 at 1:57?PM G?bor Malomsoki
>
2011 Aug 22
3
Ignoring loadNamespace errors when loading a file
On a Unix machine I ran caret::rfe using the multicore package, and I
saved the resulting object using save(lm2, file = "lm2.RData").
[Reproducible example below.]
When I try to load("lm2.RData") on my Windows laptop, I get
Error in loadNamespace(name) : there is no package called 'multicore'
I completely understand the error and I would like to ignore it and