similar to: nnet with weights parameter: odd error

I hope this question is adequate for this list I use the nnet code from V&R p. 348: The very nice and general function CVnn2() to choose the number of hidden units and the amount of weight decay by an inner cross-validation- with a slight modification to use it for classification (see below). My data has 2 classes with unequal size: 45 observations for classI and 116 obs. for classII With

Dear R-users, dear Prof. Ripley as package maintainer I tried to investigate the odd error, when I call nnet together with a 'weights' parameter, using the 'fgl' example in V&R p 348 The error I get is: Error in eval(expr, envir, enclos) : Object "w" not found I think it is a kind of scoping problem, but I really cannot see, what the problem exactly is. and

Hi All, I am trying to use a neural network for my work, but I am not sure about my approach to select a parsimonious model. In R with nnet, the IAC has not been defined for a feed-forward neural network with a single hidden layer. Is this because it does not make sens mathematically in this case? For example, is this pseudo code sensible? Thanks in advance for your help. I am sorry if this

Hi, I am trying to determine the number of units in the hidden layer and the decay rate using the CVnn2 script found in MASS directory (reference: pg 348,MASS-4). The model that I am using is in the form of Y ~ X1 + X2 + X3... + X11 and the underlying data is time-series in nature. I found the MASS and nnet package extremely useful (many thanks to the contributors). However I am getting

Dear listers, I have a piece of code which performs an ANOVA type of analysis on 2D GC data. The code is shown below: # ANOVA 2D GC analysis # maxc <- number of samples # nreps <- number of samples maxc <- 2 nreps <- 4 sscl <- NULL cmean <- NULL # # Initial stat. variable # dftot <- nrow(mat)-1 dfcl <- maxc - 1 dferr <- dftot - dfcl totmean

On 2020/10/30 ??3:45, Si-Wei Liu wrote: > This reverts commit 7ed9e3d97c32d969caded2dfb6e67c1a2cc5a0b1. > > Signed-off-by: Si-Wei Liu <si-wei.liu at oracle.com> > --- > drivers/vhost/vdpa.c | 119 +++++++++++++++++++++------------------------------ > 1 file changed, 48 insertions(+), 71 deletions(-) I saw this has been reverted there

Pinned pages are not properly accounted particularly when mapping error occurs on IOTLB update. Clean up dangling pinned pages for the error path. As the inflight pinned pages, specifically for memory region that strides across multiple chunks, would need more than one free page for book keeping and accounting. For simplicity, pin pages for all memory in the IOVA range in one go rather than have

Pinned pages are not properly accounted particularly when mapping error occurs on IOTLB update. Clean up dangling pinned pages for the error path. As the inflight pinned pages, specifically for memory region that strides across multiple chunks, would need more than one free page for book keeping and accounting. For simplicity, pin pages for all memory in the IOVA range in one go rather than have

Greetings: In R parallel's vignette, there is a comment "It would however take only slightly more work to allocate a stream to each task." (p.6). I've written down a working example that can allocate not just one, but several separate seeds for each task. (We have just a few project here that need multiple streams). I would like to help work that up for inclusion in the

Full_Name: Martha Nason Version: 2.0.1 OS: Windows XP Submission from: (NULL) (137.187.154.154) I am running simulations using fisher's test on 2 x c tables and a very small p.value from fisher's test (<2.2e-16) is returned as a negative number. Code follows. > set.seed(0) > nreps.outer <-7 > pvalue.fisher <- rep(NA,nreps.outer) > > population1 <- c(

Recently, I was working with some lagged designs where a vector of observations at one time was used to predict a vector of observations at another time using a lag 1 design. In the work, I noticed a lot of negative correlations, so I ran a simple simulation with 2 matched points. The crude simulation example below shows that the correlation can be -1 or +1, but interestingly if you do this

I am new to R and I am trying to do a monte carlo simulation where I generate data and interject error then test various cut points; however, my output was garbage (at x equal zero, I did not get .50) I am basically testing the performance of classifiers. Here is the code: n <- 1000; # Sample size fitglm <- function(sigma,tau){ x <- rnorm(n,0,sigma) intercept <- 0 beta

Dear R-devel, A user reported a strange problem with predict.randomForest in the randomForest package yesterday, and I'm baffled by it. The code at the end of the message produces the error. The problem is that, in predict.randomForest, there's a .Fortran call to "runforest". One of the arguments passed in is "countts", which is a vector of doubles. The error

> -----Original Message----- > From: H. Peter Anvin [mailto:hpa at zytor.com] > Sent: 06 June 2014 16:14 > To: Andrew Rae; 'syslinux at zytor.com' > Subject: Re: [syslinux] EFI booting over network - can't then load anything > > On 06/06/2014 07:27 AM, Andrew Rae wrote: > > Hi all.. > > > > Quick one if someone could show me a line out of their

On 11/30/2012 6:36 PM, Lang Hames wrote: > > > RBP is used as the frame pointer on x86 (hence its automatic > appearance in your code), and shouldn't be allocated to any vreg in > function bar. Loading/saving RBP should be managed by the stack frame > setup/teardown code. > If it doesn't already, your allocator should filter out reserved > registers (See

In a C++ extension to R (v 1.8.1), I've been experimenting with a generic "push back" function to tack one value at a time onto the end of an R vector created within the extension. After calling this function a certain number of times Rgui.exe (I'm writing in Windows using Visual Studio .NET 2003) will fail with an Access Violation, which doesn't happen when I pre-allocate

On Sat, Nov 16, 2013 at 6:11 PM, Andrew Rae <A.M.Rae at leeds.ac.uk> wrote: > Hi, > > background: > I've managed to get EFI32, EFI64 and 'BIOS' modes all booting & working from the same TFTP/DHCP server using the setup described in message #10 here: http://bugs.debian.org/cgi-bin/bugreport.cgi?bug=720589#10 > > I'm running this inside VMWare 9 -

> Message: 3 > Date: Fri, 06 Jun 2014 08:13:36 -0700 > From: "H. Peter Anvin" <hpa at zytor.com> > To: Andrew Rae <A.M.Rae at leeds.ac.uk>, "'syslinux at zytor.com'" > <syslinux at zytor.com> > Subject: Re: [syslinux] EFI booting over network - can't then load > anything > Message-ID: <5391DAA0.2050207 at

On Thu, Jun 19, 2014 at 2:51 PM, Andrew Rae <A.M.Rae at leeds.ac.uk> wrote: > Hi all, > > wasnt sure whether this was the best place to put this information; but something seems to have gone 'backwards' in the later pre-releases of 6.03 regarding network booting. I'd say this is an excellent place to start. I'm getting some similar results here with the precompiled

Hi R-users, I'm using igraph for an undirected graph. i used clusters() igraph function to know the component size(subgraphs) as shown bellow: c <-clusters(g)    # component sizes size <- sort(c$csize, decreasing=TRUE) cat("Top 20 cluster of the graph","\n") for (i in 1:20) {   cat(i,"  size:",size[i] ,"\n") } Can anyone help how to extract the