similar to: validate() in Design library

Displaying 20 results from an estimated 10000 matches similar to: "validate() in Design library"

2012 Mar 01
1
GLM with regularization
Hello, Thank you for probably not so new question, but i am new to R. Does any of packages have something like glm+regularization? So far i see probably something close to that as a ridge regression in MASS but I think i need something like GLM, in particular binomial regularized versions of polynomial regression. Also I am not sure how some of the K-fold crossvalidation helpers out there
2007 Apr 13
2
[LLVMdev] [llvm-commits] CVS: llvm/lib/Transforms/Hello/Makefile
And this brings back CommandLine Error: Arugment blah defined more than once! And without this, opt -load .../LLVMHello.dylib -hello does not work on Darwin because dyld is not able to find SlowerOperationInformer ;) thoughts ? - Devang On Apr 13, 2007, at 11:28 AM, Devang Patel wrote: > > > Changes in directory llvm/lib/Transforms/Hello: > > Makefile updated: 1.7 ->
2023 Oct 22
1
running crossvalidation many times MSE for Lasso regression
Dear R-experts, Here below my R code with an error message. Can somebody help me to fix this error?? Really appreciate your help. Best, ############################################################ #?MSE CROSSVALIDATION Lasso regression? library(glmnet) ?
2010 Jan 01
1
Questions bout SVM
Hi everyone, Can someone please help me in these questions?: 1)if I use crossvalidation with svm, do I have to use this equation to calculate RMSE?: mymodel <- svm(myformula,data=mydata,cross=10) sqrt(mean(mymodel$MSE)) But if I don’t use crossvalidation, I have to use the following to calculate RMSE: mymodel <- svm(myformula,data=mydata) mytest
2009 Aug 21
1
LASSO: glmpath and cv.glmpath
Hi, perhaps you can help me to find out, how to find the best Lambda in a LASSO-model. I have a feature selection problem with 150 proteins potentially predicting Cancer or Noncancer. With a lasso model fit.glm <- glmpath(x=as.matrix(X), y=target, family="binomial") (target is 0, 1 <- Cancer non cancer, X the proteins, numerical in expression), I get following path (PICTURE
2023 Oct 22
2
running crossvalidation many times MSE for Lasso regression
No error message shown Please include the error message so that it is not necessary to rerun your code. This might enable someone to see the problem without running the code (e.g. downloading packages, etc.) -- Bert On Sun, Oct 22, 2023 at 1:36?PM varin sacha via R-help <r-help at r-project.org> wrote: > > Dear R-experts, > > Here below my R code with an error message. Can
2010 Apr 27
2
ShortRead with BWA
Dear folks, Please welcome a newbie both to R and the mailing list :). I am currently working on a sequencing project, and heard about R as well as some of its packages for next gen sequencing, and decided to give it a try. Starting with ShortRead, I found a document (http://www.bioconductor.org/packages/2.5/bioc/vignettes/ShortRead/inst/doc/ShortRead_and_HilbertVis.pdf) which does mention
2006 Feb 16
1
reg cross validation in svm
Hi My name is karthikeyan. I am using svm in R for my data set. my data set contain 60 finance ratio as variables and i want to classify into group of good and bad. I want to know how to do the crossvalidation for the svm . first i am doing modelling and i am predict and i am calculating the probabilities how can i do the cross validation and how can i plot the svm for this variables
2007 Apr 13
0
[LLVMdev] [llvm-commits] CVS: llvm/lib/Transforms/Hello/Makefile
On Fri, 13 Apr 2007, Devang Patel wrote: > And this brings back CommandLine Error: Arugment blah defined more > than once! > > And without this, opt -load .../LLVMHello.dylib -hello does not work > on Darwin because dyld is not able to find SlowerOperationInformer ;) I think libhello should drop its use of SlowOperationInformer. -Chris > On Apr 13, 2007, at 11:28 AM, Devang
2009 Oct 28
1
Data Partition Package
Hi, Users, I am a new user. I am trying to partition data into training and test. Is there any R package or function that can partition dataset? Also, is there any package do crossvalidation? Any help will be appreciated. Best, Pat [[alternative HTML version deleted]]
2020 Jan 09
3
Dovecot HA/Resilience
Thank you Aki for the reply. But I cannot disturb the version at present as it is a live server and thousands of emails will circulate every hour. Could you please suggest me how to create HA/resilience for the existing environment. I have another server ready with the similar configuration. Please provide any steps/link for me to proceed on this? It will be a great help to me. Thanks, Kishore
2023 Oct 23
2
running crossvalidation many times MSE for Lasso regression
For what it's worth it looks like spm2 is specifically for *spatial* predictive modeling; presumably its version of CV is doing something spatially aware. I agree that glmnet is old and reliable. One might want to use a tidymodels wrapper to create pipelines where you can more easily switch among predictive algorithms (see the `parsnip` package), but otherwise sticking to glmnet
2010 May 20
1
Mixed Effects Model on Within-Subjects Design
Dear R Experts, I am attempting to run a mixed effects model on a within-subjects repeated measures design, but I am unsure if I am doing it properly. I was hoping that someone would be able to offer some guidance. There are 5 independent variables (subject, condition, difficulty, repetition) and 1 dependent measure (value). Condition and difficulty are fixed effects and have 3 levels each
2023 Oct 23
1
running crossvalidation many times MSE for Lasso regression
Dear R-experts, I really thank you all a lot for your responses. So, here is the error (and warning) messages at the end of my R code. Many thanks for your help. Error in UseMethod("predict") : ? no applicable method for 'predict' applied to an object of class "c('matrix', 'array', 'double', 'numeric')" > mean(unlist(lst)) [1] NA
2006 Apr 13
5
maclist or rule question
Hi, I want to automate some of the maclist and rule functionality: User connects to the network and gets a DHCP address from the shorewall box. Using squid and redirection, all the user can do is go to a login page on the firewall User logs in correctly to the form on the webpage and a process captures MAC and IP address info from the dhcpd.leases file Once authenticated, a maclist entry and an
2008 Jun 25
1
LDA on pre-assigned training and testing data sets
Dear r-help I am trying to run LDA on a training data set, and test it on another data set with the same variables. I found examples using crossvalidation, and using training and testing data sets set up with sample, but not when they are preassigned. Here is what I tried # FIRST SET UP A DATAFRAME WITH ALL THE DATA AND CREATE NEW VARIABLES traintest1 <-
2006 Dec 06
2
[LLVMdev] Fwd: Compiler opportunities at Cray
Please apply directly using the forms or URL below, or contact Luiz if you have questions. --Vikram Begin forwarded message: > From: "Luiz DeRose" <ldr at cray.com> > Date: December 5, 2006 5:26:01 PM CST > To: <vadve at cs.uiuc.edu> > Subject: Compiler opportunities at Cray > > Hi Vikram, > > I am attaching PDF descriptions of the compiler
2023 Oct 24
1
running crossvalidation many times MSE for Lasso regression
?s 20:12 de 23/10/2023, varin sacha via R-help escreveu: > Dear R-experts, > > I really thank you all a lot for your responses. So, here is the error (and warning) messages at the end of my R code. > > Many thanks for your help. > > > Error in UseMethod("predict") : > ? no applicable method for 'predict' applied to an object of class
2016 Feb 29
3
Source code of early S versions
On Mon, Feb 29, 2016 at 6:17 PM, John Chambers <jmc at r-project.org> wrote: > The Wikipedia statement may be a bit misleading. > > S was never open source. Source versions would only have been available with a nondisclosure agreement, and relatively few copies would have been distributed in source. There was a small but valuable "beta test" network, mainly university
2006 Feb 16
1
cv.glm function error message in a loop
Dear list, I am modelling fish distributions using the glm-function followed by the step-function, and then want to cross-validate the model via the cv.glm-function from the {boot} package. I am working on fish distributions on coral reefs. The code I have works for one fish species. Since I have 227 fishes, I wrote a loop. Now the cv.glm-function comes up with an error message: "Error in