search for: bays

Hi, my dovecot is configured with IMAP Sieve antispam plugin (sa-learn), everything seems to be working correctly but in debug mode in my log file I noticed "dovecot: imap: Error". Last 14 lines od my log file: Oct 31 15:05:25 mnode1 dovecot: imap: Error: Oct 31 15:05:25.040 [10743] dbg: bayes: tokenized header: 90 tokens Oct 31 15:05:25 mnode1 dovecot: imap: Error: Oct 31 15:05:25.067

Hi, I need to classify, using Naive Bayes and Bayes Networks, and estimate their performance using cross validation. How can I do this? I tried the bnlearn package for Bayes Networks, althought I need to get more indexes, not only the error rate (precision, sensitivity, ...). I also tried the *e1071* package, but I could not find a way to do cross-validation. Thanks for everyone. Guilherme.

I managed to create a link in a ZFS directory that I can''t remove. Session as follows: # ls bayes.lock.router.3981 bayes_journal user_prefs # ls -li bayes.lock.router.3981 bayes.lock.router.3981: No such file or directory # ls bayes.lock.router.3981 bayes_journal user_prefs # /usr/sbin/unlink bayes.lock.router.3981 unlink: No such file or directory # find . -print

I am currently having a problem where my bayes DB appears to be version 0 over and over again. spamassassin --lint -D 2>&1 | grep bayes bayes: bayes db version 0 is not able to be used, aborting! at /usr/lib/perl5/vendor_perl/5.8.0/Mail/SpamAssassin/BayesStore/DBM.pm line 160. I have SpamAssassin 3.0.3 installed: /etc/mail/spamassassin/local.cf contains: use_bayes 1 bayes_auto_learn 1

Hi, The code below is giving me this error message: Error in while (err > eps) { : missing value where TRUE/FALSE needed In addition: Warning messages: 1: In dnbinom(x, size, prob, log) : NaNs produced 2: In dnbinom(x, size, prob, log) : NaNs produced I know from the help files that for dnbinom "Invalid size or prob will result in return value NaN, with a warning", but I am not able

hi there!! i am trying to implement the code of the e1071 package for naive bayes, but it doens't really work, any ideas?? i am very glad about any help!! i need a naive bayes with 10-fold cross validation: code: library(e1071) model <- naiveBayes(code ~ ., mydata) tune.control <- tune.control(random = FALSE, nrepeat = 1, repeat.aggregate = min, sampling = c("cross"),

pulling my hair out... If I rm -fr /root/.spamassassin/* then sa-learn a bunch of messages, it works... ]# sa-learn --dump magic 0.000 0 3 0 non-token data: bayes db version 0.000 0 3997 0 non-token data: nspam 0.000 0 0 0 non-token data: nham 0.000 0 202022 0 non-token data: ntokens 0.000

Dear r-users, I am looking for an implementation of the Naive Bayes classifier for a multi-class classification problem. I can not even find the Naive Bayes classifier for two classes, though I can not believe it is not available. Can anyone help me? Uschi -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Dear User R It's been a pleasure talking with you. I am newcomer use R. Would you please help me how to translate the script below to "R" script? * Area under receiver operating characteristic (AU-ROC) predict r1m1p, p roctab malaria r1m1p, graph summary * Area under receiver operating characteristic (AU-ROC) curve predict r1m2p, mu roctab malaria r1m2p, graph summary

If you aren't going to be in the San Francisco bay-area a week from now, you can stop reading this message. It's time for another LLVM bay-area social gathering, which will be held one week today on Wednesday, September 7th, starting 7pm at St. Stephen's Green in Mountain View. They still have good food, lots of beer and are a short walk away from the Mountain View Caltrain and VTA

I am wondering if anybody here have a simple example in R for Naive Bayes. For example, I can do k-means clustering on the "iris" data - data(iris) cl <- kmeans(iris[,1:4], 3) cl$cluster cbind(1:150,iris$Species) =========== But how to do Naive Bayes classification in the same "iris" data? Many thanks! -- View this message in context:

Dear all, I tried a simple naive Bayes classification on an artificial dataset, but I have troubles getting the predict function to work with the type="class" specification. With type= "raw", it works perfectly, but with type="class" I get following error : Error in as.vector(x, mode) : invalid 'mode' argument Data : mixture.train is a training set with 100

All things LLVM are welcome at LLVM bay-area social, happening this Thursday at Tied House in Mountain View starting at 7pm. Those details are repeated on the website, http://llvmbayarea.appspot.com where you are encouraged to register your interest, so I can let Tied House know how many people are coming. There won't be an LLVM bay-area social in January (at least, I'm not planning one

If you're in the bay area next week and would like to socialize with your peers in an environment where talk about LLVM is encouraged, then you should come to the LLVM Bay-Area Social! The next LLVM bay-area social will be Wednesday, Oct 5th, but at a new location! Yard House in San Jose isn't the most transit accessible, so we'd appreciate anyone willing to drive others. On the plus

I'm trying to produce empirical bayes estimates based on the lognormal model in disease mapping Is there a way this can be done in R? thanks Oarabile

First Thursday in August is this Thursday – will the Bay Area social going to take place that day? From: llvmdev-bounces at cs.uiuc.edu [mailto:llvmdev-bounces at cs.uiuc.edu] On Behalf Of Marshall Clow Sent: Thursday, July 12, 2012 5:26 PM To: Nick Lewycky Cc: lldb-dev at cs.uiuc.edu; clang-dev Developers; llvmdev at cs.uiuc.edu Subject: Re: [LLVMdev] [cfe-dev] Bay Area LLVM Social - July On

> On Jul 5, 2016, at 2:29 PM, Robinson, Paul <paul.robinson at sony.com> wrote: > > I'm curious about the requirement to provide birth date—what's that about? Liability reasons because we serve alcohol at the reception. I can change to age if thats better or ask if someone is under 21 but you may still be asked show ID if a server is unsure. -Tanya > Thanks, >

Your are invited to attend the 2016 LLVM Developers’ Meeting <http://llvm.org/devmtg/2016-11/> on November 3-4 in San Jose, CA. Registration will open today, July 1, at 5:00PM PDT. You may register here: https://www.eventbrite.com/e/2016-llvm-developers-meeting-bay-area-tickets-26043992282 <https://www.eventbrite.com/e/2016-llvm-developers-meeting-bay-area-tickets-26043992282>

Dear Sir/Madam, I apologize for any cross-posting. I got a simple question, which I thought the R list may help me to find an answer. Suppose we have Y_1, Y_2, ., Y_n ~ Poisson (Lambda_i) and Lambda_i ~Gamma(alpha_i, beta_i). Empirical Bayes Estimator for hyper-parameters of the gamma distr, i.e. (alpha_t, beta_t) are needed. y=c(12,5,17,14) n=4 What about a Hierarchal B ayes

Hi all, I don't have very high hopes, but does anyone happen to have available some kind of colocation services in the Bay Area that they could donate to LLVM? I would really like to establish a proper LLVM lab somewhere instead of relying on hardware which is residing at various companies. I would be willing to personally donate some hardware, but don't have any place to put it. My