similar to: Inf in nnet final value for validation data

Dear All, I would like to use the simprof function (clustsig package) but the available distances do not include Jaccard distance, which is the most appropriate for pres/abs community data. Here is the core of the function: > simprof function (data, num.expected = 1000, num.simulated = 999, method.cluster = "average", method.distance = "euclidean", method.transform =

All, We are researching approaches to parallel R with the end goal of running R in a distributed manner on a Linux cluster. We expect of course to do some work decomposing our problems to be task-parallel or data-parallel, but wouldn't mind getting an initial boost working with "embarrassingly parallel" code sections and one of the approaches below. Incidentally our environment

Hello I'm a population ecologist and use R for all my stats and modelling. Recently I have been using R to numerically solve integral projection models. This involves constructing several large matrices. The current code by Easterling (Size-specific sensitivity: Applying a new structured population model. Ecology, 2000, 81, 694-708) uses nested loops to construct the matrices. To speed up the

Dear R Users, I have the following glm, which I am running several times in a loop (I am not including the full code): reduced_model <- NULL; full_model <- NULL; reduced_model <- try(glm.fit(X4,n,family=poisson(link="log"))) full_model <- try(glm.fit(X5,n,family=poisson(link="log"))); On some occasions, an error is produced, which is why I have attempted to work

Dear R Programmers, I am trying to run a Poisson regression on all pairs of variables in a data set and obtain the permutation distribution. The number of pairs is around 100000. It seems my code will take weeks to run, unless I try something else. Could you give me any suggestions on how to improve the speed of the code below, or any general suggestions on how I may accomplish this task. Thanks

Dear all, Currently I am trying to integrate a function which depends on four variables, two of which are given, one is given in the integrate function, so there is one variable to integrate on. The code is as follows: Pmatrix = function(th) { P = matrix(nrow=6, ncol=6, data=0) P[1,1] = P[2,1]=P[3,2]=P[4,3]=P[5,4]=P[6,5]= exp(-th) P[,6] = 1-exp(-th) return(P)} lim.verd =

Hi, I'm currently trying desperately to get the nnet function for training a neural network (with one hidden layer) to perform a regression task. So I run it like the following: trainednet <- nnet(x=traindata, y=trainresponse, size = 30, linout = TRUE, maxit=1000) (where x is a matrix and y a numerical vector consisting of the target values for one variable) To see whether the network

I have a problem when using nnet to predict the negative values. For example : X = matrix(c(1,1,0,0,1,0,1,0),4,2) X Y = matrix(c(0,1,1,0)) - 0.5 # XOR - 0.5 Y nn = nnet(X,Y,size=3) val = predict(nn,X) val # this is expected to be close to Y, but it's not ! The 'val' is always positive. I tried to change the options, but the result isn't much better. Could someone give me an

Dear List, I am trying to solve a problem by the neural network method(library: nnet). The problem is to express Weight in terms of Age , Sex and Height for twenty people. The data frame consists of 20 observations with four variables: Sex, Age, Height and Weight. Sex is treated as a factor, Age and Weight are variables normalized to unity, as usual. I wanted to construct a neural network, and so

Hello, I use nnet to do prediction for a continuous variable. after that, I calculate correlation coefficient between predicted value and real observation. I run my code(see following) several time, but I get different correlation coefficient each time. Anyone know why? In addition, How to calculate prediction accuracy for prediction of continuous variable? Aimin thanks, > m.nn.omega

Hi all, I'm using nnet() for non-linear regression as in Ch8.10 of MASS. I understand that nnet() by default optimizes least squares. I'm looking to have it instead optimize such that the mean error is zero (so that it is unbiased). Any suggestions on how this might be achieved? Cheers, Mike -- Mike Lawrence http://artsweb.uwaterloo.ca/~m4lawren "The road to wisdom? Well,

Hello, I've been working with "nnet" and now I'd like to use the weigths, from the fitted model, to iterpret some of variables impornatce. I used the following command: mts <- nnet(y=Y,x=X,size =4, rang = 0.1, decay = 5e-4, maxit = 5000,linout=TRUE) X is (m x n) Y is (m x 1) And then I get the coeficients by: Wts<-coef(mts) b->h1 i1->h1

Hi All, I am trying to learn Neural Networks. I found that R has packages which can help build Neural Nets - the popular one being AMORE package. Is there any book / resource available which guides us in this subject using the AMORE package? Any help will be much appreciated. Thanks, Indrajit

The following backup script works fine for test cases but for doing a backup of 750 MB, the directory daily.1 has a subdirectory daily.0, that is, there is daily.1/daily.0 daily.2/daily.1 daily.3/daily.2 The directory daily.0 has nothing strange, no unusual links at the top level neither hard or soft. Also, the original directory has not unusual links. All directories are in the same

I want to create a neural network, and then everytime it receives new data, instead of creating a new nnet, i want to use a backpropagation algorithm to adjust the weights in the already created nn. I'm using nnet package, I know that nn$wts gives the weights, but I cant find out which weights belong to which conections so I could implement the backpropagation algorithm myself. But if anyone

Hi everyone. I'm encountering problems with the management of the id of the users, in the DC and in the domain members (RFC2370). I'm using Samba Version 4.2.10-Debian on Debian8.5. This is the DC configuration / result. root at samba4:/var/lib/samba# cat /etc/samba/smb.conf |grep -v '#' [global] workgroup = MYNET realm = ad.mynet.lan netbios name = SAMBA4 server

I posted the following a month ago but have only managed to get to fixing on this over the holidays.? Rowland mentions that I needed to add my domain info, it?s now included and I still have the same issue. Thanks and Happy New YearOld post begins below with edits Hello ? I have a problem with my Windows 10 drive connections dropping every 24 hours, very briefly.? It's enough to cause me to

I changed my SMB.conf on the DC's and the member as per your instructions. Now the connection dropped at 10 hours, which appears to be the default end time of the certificate. KLIST on a windows box returns..... Cached Tickets: (3) #0> Client: hans @ MYNET.MYNET.COM Server: krbtgt/ MYNET.MYNET.COM @ MYNET.MYNET.COM KerbTicket Encryption Type: RSADSI RC4-HMAC(NT)

Hi I using ipp2p to block p2p traffic. How to enable to use p2p to me host in my net ? I using this setup: iptables -A FORWARD -m ipp2p --ipp2p --bit --apple --winmx --soul --ares -j DROP This setup: iptables -A FORWARD -m ipp2p --ipp2p --bit --apple --winmx --soul --ares -d ! mynet -j DROP iptables -A FORWARD -m ipp2p --ipp2p --bit --apple --winmx --soul --ares -s ! mynet -j DROP not

Hi, I have one Samba4 server running as Active Directory Domain Controller. It's working like a charm. So I needed to add another server to be a Member Server (File Server). The server is running samba-4.0.9. Configured and compiled ok: ./configure --prefix=/usr/local/samba --sysconfdir=/etc --localstatedir=/var --mandir=/usr/man --bindir=/usr/bin --sbindir=/usr/sbin --libdir=/lib