search for: enet

...X<-matrix(rnorm(200),ncol=20) Y<-matrix(rnorm(200),ncol=20) loop <- 20 size <- 20 enres<-matrix(nrow = size, ncol = loop) fit<-matrix(nrow = size, ncol = loop) store<-matrix(nrow = size, ncol = loop) for(j in 1: 10) print (paste(j,"/200",sep="")) { enres<-enet(x=X,y=Y[,j],lambda=1,normalize=TRUE,intercept=TRUE) fit<-predict.enet(enres, X, type="coefficients") store[,j]<-fit$coefficients } ---------------------------------------------------- > library(elasticnet) Loading required package: lars > X<-matrix(rnorm(200),ncol=20) >...

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, the...

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 matrix/vector arguments Then, I convert marker into numeric by using the following command. And, here also getting error.   > as.numeric(marker) Error: (list) object cannot be coerced to type...

...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...

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, trControl=trainControl(method="cv",number=5), tuneGrid=gbmGrid ) Model 1: interaction.depth=1, shrinkage=0.1, n.trees=300 collapsing over other values of n.trees Error...

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 multi-threaded. In researching this I find that a change to multi-threaded goodness would req...

...; 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/...

...et (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) have been added - mars and fda models are now fit using the earth package. Instead of using nk as a tuning parameter, these models now use the default nk from the training set and tunes over nprune. This mimics the process used by earth/mars/fda more closely. - A bug was fixed with...

...et (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) have been added - mars and fda models are now fit using the earth package. Instead of using nk as a tuning parameter, these models now use the default nk from the training set and tunes over nprune. This mimics the process used by earth/mars/fda more closely. - A bug was fixed with...

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,

...n 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?

...g 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 run, some of the word columns may be all 0. (A given word simply isn't present in the subset of data sampled.) This causes the the function to return an error about variance of 0. Any suggestions on how to mitigate thi...

...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 b...

...kan.org Thu Mar 8 17:28:01 2008 When reading email (IMAP) that contains such an unquoted line, the email abruptly ends before the "Mail" line. There may (or may not) appear another email (visible to the client) that contains the rest of the email. -- Hokan MEnet, a wholly owned subsidiary of Enet System Administrator Department of Mechanical Engineering hokan at me.umn.edu Institute of Technology 612.626.9800 University of Minnesota

...e use RSiteSearch to avoid name collisions between packages (eg. gam(), splsda(), roc(), LogitBoost()). Also search Bioconductor. (9) Allow the predict function to generate results from many different sub-models simultaneously. For example, pls() can return predictions across many values of ncomp. enet(), cubist(), blackboost() are other examples. corollary (9a): [OCD] ensure the same object type for predictions. There are occasions where predict() will return a vector or a matrix depending on the context. I would argue that this is not optimal. (10) Use a limited vocabulary for options. For ex...

...roperties, 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, y, lambda=0) suppose, the estimated coefficients are beta_new(j), j=1,...,p 4. beta_adalasso <- beta_new(j)*w(j) everything went fine except I am having problem in plotting standardized (adaptive lasso) coefficients vs. |beta|/max(|beta|). It seems that plot(out.adalasso) provides pl...

...x 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), ncol=50,nrow=50) en1<-enet(x=XB,y=y1[,1],lambda=1,normalize=TRUE,intercept=TRUE) # here I have used one column 1 as my respose coefs<-predict(en1,s=0.45,type="coef",mode="fraction") Here, I want to apply some loop to calculate all the columns and store the all coefficients. Thanks for your help Allis...

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 asterisk doing discovery, or it's announcing itself? asteriskdocs.org says this: > We now having a working example of a zapata.conf with > an FXS channel (1...

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.