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Dear R users, I have problem with extracting coefficients from a object. Here, X (predictor)and Y (response) are two matrix , I am regressing X ( dimensions 10 x 20) on each of columns of Y[,1] (10 x 1) and want to store the coefficient values. I have performed a Elastic Net regression and I want to store the coeffcients in each iteration. I got an error message . I do not

Dear R users, I am using "enet" package in R for applying "elastic net" method. In elastic net, two penalities are applied one is lambda1 for LASSO and lambda2 for ridge ( zou, 2005) penalty. But while running the analysis, I realised tht, I optimised only one lambda. ( even when I looked at the example in R, they used only one penality) So, I am

Dear R users,   I am new user for elastic net. I am trying to use elasticnet library. I have marker data with 359 markers and 168 samples, and response is metabolites. I am trying to do regression between a metabolite and markers.  But i am getting the following error:   > en<-enet(marker,as.numeric(vio),lambda=0.5,normalize=FALSE,intercept=TRUE) Error in one %*% x : requires numeric

...e runnign guestfish on Ubuntu Bionic onward, where the network cannot be configured : https://bugs.launchpad.net/ubuntu/+source/supermin/+bug/1824236 The actual problem is the combination of (a) supermin and the fact that it does chroot and (b) a dhclient hook present in Bionic (/etc/dhcp/dhclient-eneter-hooks.d/resolved) that overwrites the make_resolv_conf function of dhclient_script with one that in the end restarts the systemd.resolved service. Being, however in chroot, the new make_resolv_conf function fails with "System has not been booted with systemd as init system (PID 1). Can't o...

Hi, I am having problems passing arguments to method="gbm" using the train() function. I would like to train gbm using the laplace distribution or the quantile distribution. here is the code I used and the error: gbm.test <- train(x.enet, y.matrix[,7], method="gbm", distribution=list(name="quantile",alpha=0.5), verbose=FALSE,

Dear All, I am using "Caret"package for SVM regression and elastic net regression . I can get the final fiited vs observed values. How can I get the coefficients? Any ideas? Thanks Alex [[alternative HTML version deleted]]

I have a backup server now restoring 6TB of data to a client machine. This has been going on for four days now, and no sign of getting close to completion. The connexion is Gb enet end-to-end, and is running at only 40Mb/s. It has far more capacity than that. The only limiting factor I can see is on the backup server one core of the CPU is running 100% rsync. Clearly rsync is not

...; onward, > where the network cannot be configured : > https://bugs.launchpad.net/ubuntu/+source/supermin/+bug/1824236 > > The actual problem is the combination of (a) supermin and the fact that it > does chroot > and (b) a dhclient hook present in Bionic > (/etc/dhcp/dhclient-eneter-hooks.d/resolved) Does it work if you add this early on to appliance/init [1]: rm -f /etc/dhcp/dhclient-eneter-hooks.d/resolved There is no systemd in the appliance so anything that tries to run systemd service is going to fail anyway. Rich. [1] https://github.com/libguestfs/libguestfs/blob/ma...

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)

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)

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,

So I won one of these on ebay, in the auction it says it has the RJ45 ports on it but it doesn't :( If I were to get an analog adapter would I be able to use the video portion of this or am I SOL? The auction requires me to pay for shipping back, so I end up losing money unless I sell it on my own. Or has anyone hacked these to work on enet?

Hello, I am attempting to use elasticnet to classify a number of documents. The features are words. The data is coded into a matrix with each document as a row and each word as a column. The data is binary, with {0,1} indicating the presence of a word. I want to use the cross validation function of elasticnet (cv.enet). However, when the code selects a random subset of the data for a given

...commands as a "named block" -- just give its name, and they are executed. In my experiments, wrapping the first occurrence of such a sequence in a function definition seems to work, e.g. the first time they are needed: block1 <- function(){ sequence of commands that you would have enetered for execution at this point } block1() This first call to block1() seems to work OK, in my tests, PROVIDED, of course, a) The variables it uses and assigns to exist already; b) all internal "<-" assignments are written "<<-". Then, of course, the next time that blo...

When an mbox email contains a line that looks like a "Mail" header it should be quoted (per RFC 4155). Sendmail's delivery agent does this, as does Procmail delivery agent. Dovecot deliver does not do this. Example line, with ">" quote: >From hokan at hokan.org Thu Mar 8 17:28:01 2008 When reading email (IMAP) that contains such an unquoted line, the email

Working on the caret package has exposed me to the wide variety of approaches that different authors have taken to creating predictive modeling functions (aka machine learning)(aka pattern recognition). I suspect that many package authors are neophyte R users and are stumbling through the process of writing their first R package (or R code). As such, they may not have been exposed to some of the

Dear all, I am using modified LARS algorithm (ref: The Adaptive Lasso and Its Oracle Properties, Zou 2006) for adaptive lasso penalized linear regression. 1. w(j) <- |beta_ols(j)|^(-gamma) gamma>0 and j = 1,...,p 2. define x_new(j) <- x(j)*w(j) 3. apply LARS to solve modified lasso problem out.adalasso <- lars(X_new,y,type="lasso") or enet(X_new,

Dear Members, I am working on Elastic net and using R package for that. I have two matrix. My response is a matrix of size 50X50 and predictor is also in same size. I want to extract only cloumns from the matrix and do the elastic net analysis then store them as a matrix. library(elasticnet) library(lars) XB<-matrix(rnorm(2500,0,1), ncol=50,nrow=50) y1<-matrix(rnorm(2500,0,1),

My linux box speaks pppoe to external DSL modem. Nortel NTEX35 BAAB. It's up 24/7 and provides web service...etc. Has 6 nics, one of them is fiber. Asterisk is on the same box. Don't have any IP phones yet. The asterisk default is to listen on all 6 enet interfaces? (this is what I'd want). Etherape is showing me a healthy dose of subnet broadcast on each nic...which I assume is

hi everybody! ive got a problem starting GTA:SA. when i doubleclick the shortcut, my screen start flashing and then i see parts of the main menu, but i cant figure out what is says. when i try to click the "new game" button the game shuts down. could this by a graphical problem? i have a ati radeon 9200 family card.