similar to: Samba share breaks msi-install process

On 8/16/05, Paul Martin <pm@nowster.zetnet.co.uk> wrote: > > Caught it yesterday, as I was already running level 4: This line: [2005-08-15 04:10:58] EROR stream/ices_instance_stream Send error: No error (Success) is the one that catches my attention. Unfortunately, ices's error logging is somewhat sub-standard. Can you cross reference this against your icecast error.log to see

Materiel : pc OS : Linux (Mandrake 10.0) Wine Version : 2004 02 13 I am studying Wine and when I want to install Office 2000 with Wine (from the cdrom or from the hard disk) , the install crashes with this message : " error 1311. Cannot find the source file : D:\OFFCD1_2.CAB. Check if this file exist and if you can access to it " But this file doesn't exist ! the cdrom

Hi, I am currently running this version of wine (wine-20031118-1rh9winehq.i386.rpm) on a RH9 OS. I installed MS Word 2000 and everything went well. However, every time I run MS Word, the configuration setup screen would appear. But after that, it seems that MS Word runs OK. There are also a number of messages coming out (see below). Can anyone help me stop the configuration setup from

We have recently converted our users from a Windows2000Advanced Server AD-DC to a Samba-4.3.11. AD-DC. For the most part this went very well, saving only for the degree of ignorance respecting things MicroSoft evidenced by myself. However, one of our users persistently reports difficulties with their roaming profile. Specifically, their Firefox profile. This did not occur before the change-over

Hello, I have two questions concerning the RWeka package: 1.) First question: How can one perform a cross validation, -say 10fold- for a given data set and given model ? 2.) Second question What is the correct syntax for the parametrization of e.g. Kernel classifiers interface m1 <- SMO(Species ~ ., data = iris, control =

Hello everybody, I'm looking for a way to build an RBF classification network with R but I can't find any. I know there is the 'neural' package, but apparently the RBF networks I can build with that are for approximation tasks only. Is there any package I can use to build an RBF network for a classification task? I've also looked on CRAN but couldn't find any. Thank you for

Hey there, im using libvirt since 2 weeks now and there are still some issues im confronted with. I use libvirt in C# and I'm running a 32-bit machine on Windows 7. Actually my worst problem is, is that I'm not able to Shutdown on machine no matter which command I'm using. virDomainShutdown isn't working nor virDomainDestroy. Basically I use the virConnectOpenAuth example to make a

hello , I am new user in R . I have datafile (class = data.frame) which has 825 columns with unique column name i want extract 200 selected column from datafile how can I do this? my datafile look like.. Mi RBN RBF nDB nX 3 2.6225979 0.53132756 -0.80599902 -1.4471864 -0.5705269 10 0.4818746 -1.72143092 -2.19579027 2.0118824 -0.5705269 12 2.8519611

Hi all, sorry for my english, but I don't speak yours language. I'm trying to use bart() and rbf(). The package I'm using now is "BayesTree" and "neural", respectively. I could create the models, but I can't predict my test data. Does anyone have such an experience? Any advice is appreciated! Thank you in advanced!. Andr? -- View this message in

Hi all, I'm having this error, since I'm working with a data matrix I don't understand what's happening; I've tried several ways to solve this, even working with sparse matrix, but nothing seems to solve it, I've also tried svm (with a simple matrix 3*3 and still got the same error. > dados<-read.table("b.txt",sep="",nrows=30000) >

Hi!! I am trying to figure out how to use the string kernel "stringdot" in kernlab. k <- function(x,y) { (sum(x*y) +1)*exp(-0.001*sum((x-y)^2)) } class(k) <- "kernel" data(promotergene) ## train svm using custom kernel gene.k <- ksvm(Class~.,data=promotergene,kernel=k,C=10,cross=5) # works fine in this case gene.rbf <-

Now, at least in release 3.7.1, on an encounter with a fatal error at the time of compiling a module it will call an installed handler function and allow the application to log the error etc. However once said handler returns LLVM will force an exit of 0x1, something that I cant allow to ever occur, but according to the ErrorHandling header I cant safely throw an exception to back out of the error

Dear All user, Hello, I'm a student and I have some trouble with the experimental (columns-experiments) design of my project. I use a randomized block design with 4 treatments including a control. For each treatment, I use 3 replicates and 3 blocks. The treatments are: -T1 = COD (300 mg/Lit) COD=chemical oxygen demand -T2 = COD (200 mg/Lit) -T3 = COD (100 mg/Lit) -T4 = COD (0 mg/Lit) as

Dear Forum, I have installed and used various Weka functions in R - both already available interfaces or created ones via make_Weka_classifier - without any trouble. However, the RBFNetwork (RBF Neural Network) function is one that I have not been able to call. I tried creating the R interface using RBF<- make_Weka_classifier("weka/classifiers/functions/RBFNetwork"), and the

Hello, I have noticed a bug with LSSVM implementation in R. It could be a bug with the LSSVM itself that causes this problem. I thought I should post this message to see if anyone else is familiar with this problem and explain why the result is different for odd and even number of cases. Once the hyperplane is found using LSSVM, the prediction results vary when you predict odd or even number of

Dear community, I have a problem with a string conversion: > text [1] "" "and" "\xc1d\xe1m" [4] "graphical" "interface" "MLP" [7] "Nagy" "networks" "Networks" [10] "neural" "Neural"

Hi, My question might be a little general. I have a number of values to select for the complexity parameters in some classifier, e.g. the C and gamma in SVM with RBF kernel. The selection is based on which values give the smallest cross validation error. I wonder if the randomized splitting of the available dataset into folds is done only once for all those choices for the parameter values, or

Dear Sanjay, Sorry sanjay i miss to explain completely. My PC2PC mean is Dialer2Dialer i want to allow call between Dialer with out any registry and authentication through IAX. so i need to setup Asterisk accept calls from any user and users can call to each other without any password and registration. please help how can i configure Asterisk using IAX in this regards. thanks, Asif Message: 9

Hi, If I do a standard svm regression with e1071 x <- seq(0.1, 5, by = 0.05) y <- log(x) + rnorm(x, sd = 0.2) m <- svm(x, y) we can do predict(m,x) to get the fitted values. But what if I wan tho get them by hand? Seem to me like it should be w = t(m$coefs)%*%m$SV x.scaled = scale(x, m$x.scale[[1]], m$x.scale[[2]]) t(w %*% t(as.matrix(x.scaled))) - m$rho but this is wrong If i

Is there a method to list the components of an object, instead of looking at the help for that method? Let me be more clear with an example data(iris) ## tune `svm' for classification with RBF-kernel (default in svm), ## using one split for training/validation set obj <- tune(svm, Species~., data = iris, ranges = list(gamma = 2^(-1:1), cost = 2^(2:4)),