similar to: Caret: Use timingSamps leads to error

Displaying 20 results from an estimated 200 matches similar to: "Caret: Use timingSamps leads to error"

2012 May 15
1
caret: Error when using rpart and CV != LOOCV
Hy, I got the following problem when trying to build a rpart model and using everything but LOOCV. Originally, I wanted to used k-fold partitioning, but every partitioning except LOOCV throws the following warning: ---- Warning message: In nominalTrainWorkflow(dat = trainData, info = trainInfo, method = method, : There were missing values in resampled performance measures. ----- Below are some
2012 Jun 09
1
caret: compare linear models of different degree
I want to use the caret package to train linear models. I want to compare these models when using different degrees (aka degrees of interaction). This is possible for the 'earth' method (using the '.degree' parameter) but I found no possibility of customizing the degree for the 'lm' method. This might be due to the fact that the basic 'lm' function does not support
2012 May 21
3
Need help for R install
Dear R committee: I am Renzhi, Ph.D student in computer science in the University of Missouri. I have one question for you. I try to install R in the linux server, but I don't have the root permission, is there any way to install the R locally? Thank you very much for helping me. Renzhi Cao Graduate Research Assistant Department of Computer Science University of
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
2013 Jul 15
4
GlusterFS 3.4.0 and 3.3.2 released!
Hi All, 3.4.0 and 3.3.2 releases of GlusterFS are now available. GlusterFS 3.4.0 can be downloaded from [1] and release notes are available at [2]. Upgrade instructions can be found at [3]. If you would like to propose bug fix candidates or minor features for inclusion in 3.4.1, please add them at [4]. 3.3.2 packages can be downloaded from [5]. A big note of thanks to everyone who helped in
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
2013 Mar 06
1
CARET and NNET fail to train a model when the input is high dimensional
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 <- runif(1)*trX[,1]*trX[,2]^2+runif(1)*trX[,3]/trX[,4] trY <-
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)
2013 Nov 15
1
Inconsistent results between caret+kernlab versions
I'm using caret to assess classifier performance (and it's great!). However, I've found that my results differ between R2.* and R3.* - reported accuracies are reduced dramatically. I suspect that a code change to kernlab ksvm may be responsible (see version 5.16-24 here: http://cran.r-project.org/web/packages/caret/news.html). I get very different results between caret_5.15-61 +
2013 Feb 07
4
Sourcing my file does not print command outputs
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 anything. How can I get summary(resamps) to print when I source a file with this command?
2013 Oct 26
1
Crashing (signal received: 11)
I am seeing this crashing happening, I am working on the self healing errors as well, not sure if the two are related. I would appreciate any direction on trying to resolve the issue, I have clients dropping connection daily. [2013-10-26 15:35:46.935903] E [afr-self-heal-common.c:2160:afr_self_heal_completion_cbk] 0-ENTV04EP-replicate-9: background meta-data self-heal failed on / [2013-10-26
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
2012 Dec 12
2
Problem installing package "caret"
Folks: I keep getting the following error message (I'm on Windows 7, R-2.15.2, and tried a reboot...). Thx! John > install.packages("caret")Installing package(s) into ‘C:/Program Files/R/R-2.15.2/library’ (as ‘lib’ is unspecified)trying URL 'http://streaming.stat.iastate.edu/CRAN/bin/windows/contrib/2.15/caret_5.15-045.zip'Content type 'application/zip' length
2004 Nov 09
3
no doubt a dumb question, but..
Yes, I am a newbie at R, but it is not the complex commands in R that have me baffled, but simple data commands. For example, why does something like: > plot(Girth ~ Height) *not* work after a command that allegedly loads the data: > data(trees) with the error message: Error in eval(expr, envir, enclos) : Object "Girth" not found but does work after the command: >
2010 Mar 25
1
new TSSHARA SOHO II ups
Hi all, My name is Sergio Penen and I'd like to contribute to the project by developing a new driver for TS SHARA SOHO II usb ups. I'm almost done decoding the protocol and already have some basic functionality working with NUT. However I've some doubts on how to integrate this driver with NUT and I wonder if you could give me some guidance in that sense. To be more specific: In order
2006 Feb 19
2
possible rails -> postgresql bug
Hi I have a problem accessing an array field in a Postgresql database. Here is the table definition. View "neil.flashing_codes" Column | Type | Modifiers -------------+-----------------------+----------- code | character varying(10) | description | text | folds | integer[] | View definition: SELECT
2010 Oct 19
1
ancova help
I am trying to run an ancova and am having trouble setting it up properly. I have nearly 10,000 measurements of fish length, girth and stage of sexual development. I am suspicious that the stage of development is affecting the length (as they get full of eggs they get more round and are more difficult to measure and measure shorter). My data looks somethign like this: Length girth stage 40 50
2012 May 30
1
fractional seconds in POSIXct
Hi, Using the following simple character vector representing a time series with fractional seconds: datetime <- c("20/09/2011 13:00:59.00", "20/09/2011 13:00:59.02", "20/09/2011 13:00:59.04") Conversion to POSIXct runs into problems; the second element is not interpreted correctly: ---<--------------------cut
2003 Jan 20
1
make check for R-1.6.2 on IBM AIX
Dear all, The 'make check' step fails for the pacakge mva on IBM AIX. The tail of the Rout log file looks like: > for(factors in 2:4) print(update(Harman23.FA, factors = factors)) Call: factanal(factors = factors, covmat = Harman23.cor) Uniquenesses: height arm.span forearm lower.leg weight 0.170 0.107 0.166
2012 Aug 17
1
Trouble compiling package on Windows (64 bit)
I am trying to compile the R package "KernGPLM" found here: http://www.marlenemueller.de/KernGPLM/KernGPLM_0.65.tar.gz since the binary available is for R 2.4. but the compilation ends with the error message: *** arch-i386 ERROR: compilation failed for the package 'KernGPLM' Here is my session info: R version 2.14.2 (2012-02-29) Platform: x86_64-pc-mingw32/x64 (64-bit)