similar to: mypredict.

Displaying 20 results from an estimated 3000 matches similar to: "mypredict."

2005 Jun 23
1
errorest
Hi, I am using errorest function from ipred package. I am hoping to perform "bootstrap 0.632+" and "bootstrap leave one out". According to the manual page for errorest, i use the following command: ce632[i]<-errorest(ytrain ~., data=mydata, model=lda, estimator=c("boot","632plus"), predict=mypredict.lda)$error It didn't work. I then tried the
2003 Jun 24
1
errorest: Error in cv.numeric()
Hi, I am trying to get an error estimation for a classification done using lda. The examples work fine, however I don't get my own code to work. The data is in object d > d class hydrophobicity charge geometry 1 2 6490.0400 1434.9700 610.99902 2 2 1602.0601 400.6030 -5824.00000 3 2 969.0060 260.1360 -415.00000 4 1
2004 Jan 09
3
ipred and lda
Dear all, can anybody help me with the program below? The function predict.lda seems to be defined but cannot be used by errortest. The R version is 1.7.1 Thanks in advance, Stefan ---------------- library("MASS"); library("ipred"); data(iris3); tr <- sample(1:50, 25); train <- rbind(iris3[tr,,1], iris3[tr,,2], iris3[tr,,3]); test <- rbind(iris3[-tr,,1],
2009 Apr 25
1
Overlapping parameters "k" in different functions in "ipred"
Dear List, I have a question regarding "ipred" package. Under 10-fold cv, for different knn ( = 1,3,...25), I am getting same misclassification errors: ############################################# library(ipred) data(iris) cv.k = 10 ## 10-fold cross-validation bwpredict.knn <- function(object, newdata) predict.ipredknn(object, newdata, type="class") for (i in
2005 Jan 06
1
different result from the same errorest() in library( ipred)
Dear all, Does anybody can explain this: different results got when all the same parameters are used in the errorest() in library ipred, as the following? errorest(Species ~ ., data=iris, model=randomForest, estimator = "cv", est.para=control.errorest(k=3), mtry=2)$err [1] 0.03333333 > errorest(Species ~ ., data=iris, model=randomForest, estimator = "cv",
2006 Oct 08
0
Problem in getting 632plus error using randomForest by ipred!
Hello! I'm Taeho, a graduate student in South Korea. In order to get .632+ bootstrap error using random forest, I have tried to use 'ipred' package; more specifically the function 'errorest' has been used. Following the guidelines, I made a simple command line like below: error<-errorest(class ~ ., data=data, model=randomForest, estimator = "632plus")$err
2009 Nov 02
1
modifying predict.nnet() to function with errorest()
Greetings, I am having trouble calculating artificial neural network misclassification errors using errorest() from the ipred package. I have had no problems estimating the values with randomForest() or svm(), but can't seem to get it to work with nnet(). I believe this is due to the output of the predict.nnet() function within cv.factor(). Below is a quick example of the problem I'm
2005 Jan 10
0
Stadard errors and boxplots with 632plus error estimator, "errorest"
Dear R-users, I'd like to estimate standard errors (for lda) and make a boxplot with the "632plus" and "boot" error estimators included in package ipred (method: errorest). The "boot" estimator returns only a standard deviation but not the whole error data. Thank you in advance, regards, Antoine
2005 Mar 18
2
logistic model cross validation resolved
This post is NOT a question, but an answer. For readers please disregard all earlier posts by myself about this question. I'm posting for two reasons. First to say thanks, especially to Dimitris, for suggesting the use of errorest in the ipred library. Second, so that the solution to this problem is in the archives in case it gets asked again. If one wants to run a k-fold cross-validation
2006 Feb 02
0
crossvalidation in svm regression in e1071 gives incorrect results (PR#8554)
Full_Name: Noel O'Boyle Version: 2.1.0 OS: Debian GNU/Linux Sarge Submission from: (NULL) (131.111.8.96) (1) Description of error The 10-fold CV option for the svm function in e1071 appears to give incorrect results for the rmse. The example code in (3) uses the example regression data in the svm documentation. The rmse for internal prediction is 0.24. It is expected the 10-fold CV rmse
2006 Feb 02
0
crossvalidation in svm regression in e1071 gives incorre ct results (PR#8554)
1. This is _not_ a bug in R itself. Please don't use R's bug reporting system for contributed packages. 2. This is _not_ a bug in svm() in `e1071'. I believe you forgot to take sqrt. 3. You really should use the `tot.MSE' component rather than the mean of the `MSE' component, but this is only a very small difference. So, instead of spread[i] <- mean(mysvm$MSE), you
2004 Nov 15
1
installing knncat package
Hi all, I am wondering if anyone has problem installing 'knncat' package. I tried to install using 'Rcmd INSTALL knncat_1.1.1.tar.gz', error message appeared. I attached the message in the end. I allso tried to install from RGui, but it was not listed. Thanks in advance. Regards, jenny ---------- Making package knncat ------------ adding build stamp to DESCRIPTION
2009 Jun 25
7
Snort on domU
Hi Everyone, Can anyone confirm if a xen based domU can be used for snort setup? It is not for commercial use, rather just SOHO use. Regards, dot.yet _______________________________________________ Xen-users mailing list Xen-users@lists.xensource.com http://lists.xensource.com/xen-users
2009 Jun 25
7
Snort on domU
Hi Everyone, Can anyone confirm if a xen based domU can be used for snort setup? It is not for commercial use, rather just SOHO use. Regards, dot.yet _______________________________________________ Xen-users mailing list Xen-users@lists.xensource.com http://lists.xensource.com/xen-users
2007 Jan 23
19
IPv4 configuration for Solaris guest domains
I''d like to enhance Solaris network configuration slightly to allow guest domain IPv4 details to be passed from the domain building control tools through to the relevant components in Solaris (svc:/network/physical and uts/common/fs/nfs/nfs_dlinet.c). Attached is a proposal, roughly in the form of a fasttrack. Diffs for a prototype are at:
2003 Feb 27
2
PRESS again
Sorry for the repeat. The PRESS statistic is defined as sum(y-yhat(i))^2, where yhat(i) denotes the ith predicted value using all the data except the ith case (as used typically in linear models). Thanks again Jacob Jacob L van Wyk Department of Mathematics and Statistics Rand Afrikaans University P O Box 524 Auckland Park 2006 South Africa Tel: +27-11-489-3080 Fax: +27-11-489-2832
2006 Sep 29
8
creating a vnic to represent the factory MAC address
How do I create a vnic that represents the factory assigned MAC address of my physical nic? The bge device in my system (x2100) appears to support 4 MAC addresses. The driver reserves the first as the ''primary/default'' address and allows manipulation of the other three via the MAC_CAPAB_MULTIADDRESS interface. I''d like to use vnics on this system, as I have Xen guest
2009 May 04
8
CentOS DomU on Opensolaris Dom0 - virt-install fails with error in virDomainCreateLinux()
Hi, I am trying to install CentOS on an Opensolaris Dom0. virt-install fails with an error in virDomainCreateLinux(). Is this a known issue? Am I missing some step? manoj@mowgli:~$ uname -a SunOS mowgli 5.11 snv_101b i86pc i386 i86xpv Solaris manoj@mowgli:~$ pfexec virt-install What is the name of your virtual machine? centos How much RAM should be allocated (in megabytes)? 512 What would
2010 Jan 19
4
Dom0 cache-ing MAC addresses?
I created a DomU with a dedicated network connection script path=''/usr/lib/xen/scripts/vif-dedicated'' Having run the virtual machine I now destroy the domain, undefine it, change the script to script path=''/usr/lib/xen/scripts/vif-vnic'' define the domain and try to start it. This fails. If I change the assigned MAC address the newly defined virtual
2005 Apr 13
5
Binary Matrices
I'm wanting to perform analysis (e.g. using eigen()) of binary matrices - i.e. matrices comprising 0s and 1s. For example: n<-1000 test.mat<-matrix(round(runif(n^2)),n,n) eigen(test.mat,only.values=T) Is there a more efficient way of setting up test.mat, as each cell only requires a binary digit? I imagine R is setting up a structure which could contain n^2 floats. Thanks in advance