similar to: Node classifier not loading any defined classes

puppet maser conf: [main] logdir = /var/log/puppet rundir = /var/run/puppet ssldir = $vardir/ssl [master] classfile = $vardir/classes.txt localconfig = $vardir/localconfig user = root group = root fileserverconfig = /etc/puppet/fileserver.conf reportdir = /home/logs/puppet/reports masterhttplog = /home/logs/puppet/masterhttp.log masterlog =

All, For those that are using external nodes (as local files) and multiple environments, where do you put the external node files? Ie, do you put them down in the environment itself /etc/puppet/env/env1/manifests/extdata/nodes /etc/puppet/env/env.../manifests/extdata/nodes /etc/puppet/env/envN/manifests/extdata/nodes OR, up above the environments? /etc/puppet/manifests/extdata/nodes Which

Hi, I have a Puppet Enterprise (2.0) puppetmaster running with Foreman, and having trouble getting it working as an External Node Classifier. In short, if I manually add a test client into site.pp, it will retrieve the proper catalog / classes, but I would like to avoid having to do that. I''m also using environments (production/testing/ development) as well, but think I have most of

I''m trying to setup dashboard as a node classifier w/puppet 2.6.14. Not sure why this is not working... In puppet.conf on the master I have: node_terminus = exec external_nodes = /usr/bin/env PUPPET_DASHBOARD_URL=http:// localhost /usr/share/puppet-dashboard/bin/external_node The agent''s return: err: Could not retrieve catalog from remote server: Error 400 on SERVER:

I see the instructions for creating custom facter recipes here: http://projects.reductivelabs.com/projects/puppet/wiki/Adding_Facts and in this thread, James Turnbull suggests that Facter might some day support other languages besides ruby: http://groups.google.com/group/puppet-users/browse_thread/thread/8c127ae8898d3bcf/c5ca551b77c4eb67?lnk=gst&q=facter+perl#c5ca551b77c4eb67 He writes:

Hello All, So I finally got around to start to cut over node definitions from standard flat files to external nodes (foreman), and getting error message: "Error 400 on SERVER: Could not find node ''nodename''; cannot compile" - So basically it can''t pick up the node from the external node config. When I test the fetching of the yaml file it seems to work

Hi, When I run puppet agent --test --environment 42A, I have the following warning : Warning: Local environment: "42A" doesn''t match server specified node environment "production", switching agent to "production". ... The puppet manifest for the environment "42A" isn''t applied. The puppet version is 3.3.1-1puppetlabs1 on agent and

Hello, I''m trying to use External Node classification and I have not idea what is my mistake. I getting the following error : err: Could not retrieve catalog from remote server: Error 400 on SERVER: undefined method `downcase'' for ["hola", {"mens"=>"HOLA"}]:Array on node casa I have a very simple parameter class : class hola( $mens =

Hello All, I''m trying to start using external nodes under foreman, and I''m running into some issues. I have the entries in puppet.conf: [main] external_nodes = /etc/puppet/external_node.rb node_terminus = exec The enternal_node.rb script is the one that came with foreman: #!/usr/bin/ruby # a simple script which fetches external nodes from Foreman # you

Hello, Is it possible to configure an ENC to provide class definition to a number of nodes at the same time where a few other nodes are controlled in the site.pp by node ''FQDN'' {blah} for the same puppetmaster ? I am wondering once parameters are set for the master to look for an ENC based definitions, will it conflict with the site.pp node definitions ? For example these

I''m having some trouble with getting an ENC to work alongside site.pp: Even with a ''default'' node definition, and an ENC that only returns 0, regardless of input, consistently results in a ''cannot find node'' error. I''m wondering what I''ve missed here. I''ve tried to reduce everything to a ''base case'': and

I am trying to get a custom fact to sync. The fact is in a module. It will sync if I run puppet with "--pluginsync" but not otherwise. I have "pluginsync=true" in my puppet.conf. Shouldn''t the command line option and puppet.conf option have the same results? -- You received this message because you are subscribed to the Google Groups "Puppet Users" group.

Le jeudi 09 f?vrier 2012 ? 15:31 +0200, Kari Ruohonen a ?crit : > Hi, > I am trying to replicate a training of AttributeSelectedClassifier with > CFsSubsetEval, BestFirst and NaiveBayes that I have initially done with > Weka. Now, I am trying to use RWeka in R. > > I have a problem of passing arguments to the CfsSubsetEval, BestFirst > and NaiveBayes. I have first created an

Hello, I would like to ask your advice for the simplest method to do deployment on a debian server. From my perspective the system should look something like this : # web server node node "prod.domain.com" inherits webserver { webapp::project{app1: domain => "app1.com", package => "app1", version => ''1.1.2''

Dear All, I'm currently doing a project about unsupervised learning, and I'll be using R to analyse a few network traffic datasets downloaded off Andrew Moore's website (http://www.cl.cam.ac.uk/Research/SRG/netos/nprobe/data/papers/sigmetrics/index.html). Could anyone shed some light on how to build a classifier from the training set A, and then use a validation set B to assess the

Hi, Currently I testing the packets that contain built-in features for classification. Actually I looked packages such as: e1071, Klar, Caret, CORElearn. However, from what I noticed when building a naive Bayesian classifier, that they package use of the finite mixture model to estimate P (x | C) and using a normal distribution. In my research I use binary data and I want modeled P (x | C), eg the

Hello, I just compiled a new kernel.iptable/iproute2 to fresh up my router. There is a little problem... The fw classifier does not work in tc. I read some note found in the source of iproute2 and it says: "* To use "fw" classifier you will need ipfwchains patch." I can''t find this patch. Do you have it? Is there any other way to implement the "fw"

Dear R-philes, I am having some trouble averaging across multiple runs of a classifier in an ROC Curve. I am using the ROCR package and the plot() method. First, I initialize a list with two elements where each element is a list of predictions and labels: vowel.ROC <- list(predictions=list(), labels=list()) For every run of the classifier, I append the scores and labels to their

Hi everyone, I have trouble to use RWeka, I tried: (w=weather dataset, all preditors are nominal) > m<-J48(play~., data=w) > e<-evaluate_Weka_classifier(m,cost = matrix(c(0,2,1,0), + ncol = 2),numFolds = 10, complexity = TRUE,seed = 123, + class = TRUE) it gives me exactly what I want, but when I tried the same classifier on the other published data: (iris dataset has all numeric

Hi, I have a small doubt regarding naive Bayes. I am able to classify the data's properly but i am just stuck up with how to get the probability values for naive bayes. In the case of SVM we have "attr" function that helps in displaying the probability values. Is there any function similar to "attr" in naive Bayes that can be used for displaying the attribute values. my