similar to: Puppet time accuracy

Beginner question: I have a very simple configuration in site.pp for all agents. Is it possible to split actions based on operating system. I am interested into running certain commands only on Windows 7, some on Windows Xp and some on Mac OS X agents. Is there a simple way of achieving this while keeping a simple configuration ? Thank you, Dragos -- You received this message because

Hello everyone I wonder if anyone can point me to the library for timezone management with DST support, which has timezones, like flickr has. I know that there is TZInfo, but it''s a bit different for it has huge list of available timezones in ''Continent/City'' format. I would like my application to have timezones list more like on flickr (or windows regional settings) -

Hi all - I am trying to tune an SVM model by optimizing the cross-validation accuracy. Maximizing this value doesn't necessarily seem to minimize the number of misclassifications. Can anyone tell me how the cross-validation accuracy is defined? In the output below, for example, cross-validation accuracy is 92.2%, while the number of correctly classified samples is (1476+170)/(1476+170+4) =

Hi people, I need to prove the good quality of numerical accuracy of R. Anyone knows a paper or anything else comparing R to other statistical softwares in terms of numerical accuracy. I've made a long search about that but I found nothing. Please help me!! Thanx, Talita Leite ------------------------------------------------- Este e-mail foi enviado pelo Webmail da UFAL IMP:

If we use the ROCR package to find the accuracy of a classifier pred <- prediction(svm.pred, testset[,2]) perf.acc <- performance(pred,"acc") Do we?find the maximum accuracy?as follows?(is there a simplier way?): > max(perf.acc at x.values[[1]]) Then to find the cutoff point that maximizes the accuracy?do we do the following?(is there a simpler way): > cutoff.list <-

I was wandering if anybody ever tried to compare the classification accuracy of nnet to other (rpart, tree, bagging) models. From what I know, there is no reason to expect a significant difference in classification accuracy between these models, yet in my particular case I get about 10% error rate for tree, rpart and bagging model and 80% error rate for nnet, applied to the same data. Thanks.

Hi, I want to use a more accurate value of exp(1).  The value given by R is 2.718282. I want a value which has more than 15 decimal places. Can anyone let me know how can I increase the accuracy level. Actually there are some large multipliers of exp(1) in my whole expression, and I want a more accurate result at the last step of my program, and for that I need to use highly accurate value

I am using machine learning for one researching. I am using some classifiers with 5-fold CV . I would like to know how it is possible to extract the accuracy, for example, for KNN,neural networks and J48, for each one of 5-fold because when I apply CV to my classifier, I obtain the "mean accuracy" of 5-fold but each accuracy/error of each fold is not returned. Any help is welcome and

Hi R-Helpers , am working on nnet package.Multinom() has an option for finding the goodness of fit by giving the AIC value. Does nnet also gives some value to determine the accuracy. If not, can you guide me with some procedure to figure out the accuracy/goodness of fit of nnet model? Thanks in advance. -- View this message in context:

Dear R people Could you please help with following Trying to compare accuracy of tumor size evaluation by different methods. So data looks like id true metod1 method2 ... 1 2 2 2.5 2 1.5 2 2 3 2 2 2 etc. Could you please give a hint how to deal with that. Seems like {merror} does not suite to me because I am trying to compare accuracy of measurements with their true known values not just

Hi, This is my proposal to add floating point accuracy support to LLVM. The intention is that the frontend may provide metadata to signal to the backend that it may select a less accurate (i.e. more efficient) instruction to perform a given operation. This is primarily a requirement of OpenCL, which specifies that certain floating point operations may be computed inaccurately. Comments

Hello, I have been playing around with the statistical distributions in R, and overall I think the accuracy is very good. However, it seems that for the Student's t distribution, the CDF loses accuracy when evaluated at values close to zero. For instance, I did the following in R ---------------------------------- df<-seq(1,100,by=1)

This is hopefully a quick question on decimal accuracy. Is any decimal accuracy lost when casting a numeric vector as a matrix? And then again casting the result back to a numeric? I'm finding that my calculation values are different when I run for loops that manually calculate matrix multiplication as compared to when I cast the vectors as matrices and multiply them using "%*%".

Dear all, I have a set of data with 4 inputs (independent variables) and one output (dependent variable). I want to perform a regression analysis in order to fit these data to a regression model, however due to the non-linearity of the model I do not have a clue which equation to use. I am thinking of starting with a very general equation including ^3 terms and interactions between the variables

Hi, I have two sets of sensitivity, specificity, positive predictive value, and negative predictive value, and accuracy from two tests on the same subjects. Is there an R package that does such paired comparisons? Thanks, Gang Chen

Hi, The paper @ARTICLE{AlmironSilvaMM:2009, author = {Almiron, M. and Almeida, E. S. and Miranda, M.}, title = {The Reliability of Statistical Functions in Four Software Packages Freely used in Numerical Computation}, journal = {Brazilian Journal of Probability and Statistics}, year = {in press}, volume = {Special Issue on Statistical Image and Signal Processing}, url =

Hi, I was at the Puppet talk at Oscon and I would like to try using Puppet for PXE on RHEL machines and I was wondering if there are standard minimal Kickstart recipes from which Puppet can then take over. Thanks, Jason van Zyl jason at maven.org

Hi All, When modeling with glm and family = binomial (link = logit) and response values of 0 and 1, I get the predicted probabilities of assigning to my class one, then I would like to compare it with my vector y which does have the original labels. How should I change the probabilities into values of zero and 1 and then compare it with my vector y to find out about the accuracy of my

Hi All, We have all had to face skeptical colleagues asking if software made by volunteers could match the quality and accuracy of commercially written software. Thanks to the prompting of a recent R-help thread, I read, "R: Regulatory Compliance and Validation Issues, A Guidance Document for the Use of R in Regulated Clinical Trial Environments (http://www.r-project.org/doc/R-FDA.pdf).

Hi Peter, This sounds like I really good idea. One thing that did occur to me though from an OpenCL point of view is that ULP accuracy requirements can differ for embedded and full profile so that may need to be handled somehow. Thanks, Rob On Wed, 2011-09-07 at 21:55 +0100, Peter Collingbourne wrote: > Hi, > > This is my proposal to add floating point accuracy support to LLVM. >