similar to: [Bug 100758] New: Kernel Oops when starting X nv50_dma_push

https://bugs.freedesktop.org/show_bug.cgi?id=50830 Bug #: 50830 Summary: GeForce 8500 GT Connectors Reversed Classification: Unclassified Product: xorg Version: unspecified Platform: x86-64 (AMD64) OS/Version: Linux (All) Status: NEW Severity: normal Priority: medium Component:

Hi, I''m new to Rails and Ruby and can''t access methods/columns from an ActiveRecord object that is a "piggy-back" row as described by David here: http://www.loudthinking.com/arc/000235.html Via Console I can create the piggyback object but reading attributes gives "TypeError: cannot convert String into Integer" (this is in Console and the browser).

https://bugs.freedesktop.org/show_bug.cgi?id=31780 Kevin Winchester <kjwinchester at gmail.com> changed: What |Removed |Added ---------------------------------------------------------------------------- Status|NEEDINFO |RESOLVED Resolution|--- |FIXED --- Comment #13 from Kevin Winchester

Hi, I use Sarge's dovecot for a pop3 mail collection server. IMAP is not used at all. It works well, but I would like to know why one of the accounts also keeps a copy of all e-mail copies in the cur/ folder? Thanks a lot, Wally -- Wally Winchester wally_winchester at fastmail.fm -- http://www.fastmail.fm - The way an email service should be

When syncing one backup system (running dirvish, but that's not really relevant) to a second long-term backup system which uses btrfs snapshots, I get the following output: rsync: link "/parasite.oob.telegraaf.net/vservers-var-www/tree/elo/var/www/lokaalx/openx-htdocs/etc/xmlcache/.svn/prop-base/cache_etc-changes_schema-tables-core-12934.bin.svn-base" (in backup-aquagirl) =>

Just curious if anyone else has got this error before, and if so, would know what I could do (if anything) to get past it: > mtry <- tuneRF(training, trainingdata$class, ntreeTry = 500, stepFactor = 2, improve = 0.05, trace = TRUE, plot = TRUE, doBest = FALSE) mtry = 13 OOB error = 0.62% Searching left ... mtry = 7 OOB error = 1.38% -1.222222 0.05 Searching right ... mtry = 26

Hello! I think I am relatively clear on how predictor importance (the first one) is calculated by Random Forests for a Classification tree: Importance of predictor P1 when the response variable is categorical: 1. For out-of-bag (oob) cases, randomly permute their values on predictor P1 and then put them down the tree 2. For a given tree, subtract the number of votes for the correct class in the

Hi all, I've been using a custom summary function to optimise regression model methods using the caret package. This has worked smoothly. I've been using the default bootstrapping resampling method. For bagging models (specifically randomForest in this case) caret can, in theory, uses the out-of-bag (oob) error estimate from the model instead of resampling, which (in theory) is largely

Hi there, A little while ago we launched Pin in the Map (http://pininthemap.com), a rails application which allows you to easily mark a spot on a map, attach some text to it, and get a simple link to pass around. It''s basically tinyurl for maps. It''s proved useful for organising after-work drinks, meetings, weddings plus a whole variety of other things. http://pininthemap.com.

Hello R-user! I am running R 2.7.0 on a Power Book (Tiger). (I am still R and statistics beginner) I tried rfImpute (randomForest) and as far as I understood should it replace NA`s using a proximity matrix: > set.seed(100000) > Subset5Imputed<-rfImpute(Sex~., data=Subset5) ntree OOB 1 2 300: 11.78% 12.36% 11.21% ntree OOB 1 2 300: 12.07% 12.64%

Dear Random Forests gurus, I have a question about R^2 provided by randomForest (for regression). I don't succeed in finding this information. In the help file for randomForest under "Value" it says: rsq: (regression only) - "pseudo R-squared'': 1 - mse / Var(y). Could someone please explain in somewhat more detail how exactly R^2 is calculated? Is "mse"

Dear mailinglist members, I was wondering if there was a way to re-evaluate the instances of a tree (in the forest) again after I have manually changed a splitpoint (or split variable) of a decision node. Here's an illustration: library("randomForest") forest.rf <- randomForest(formula = Species ~ ., data = iris, do.trace = TRUE, ntree = 3, mtry = 2, norm.votes = FALSE) # I am

What seems to be the problem? I think you forgot to include a description of the issues you're seeing. On Sep 18, 2017 11:23 PM, <ygrishin-lists at mail2.ca> wrote: Hello looks like the device is not supported, the logs are as follows: --- # dmesg | grep nouve [ 2.789899] fb: switching to nouveaufb from VESA VGA [ 2.790060] nouveau 0000:01:00.0: NVIDIA GT218 (0a8d00b1) [

I've been using the R package randomForest but there is an aspect I cannot work out the meaning of. After calling the randomForest function, the returned object contains an element called prediction, which is the prediction obtained using all the trees (at least that's my understanding). I've checked that this prediction set has the error rate as reported by err.rate. However, if I

Hi all, Had struggled in getting "Strata" in randomForest to work on this. Can I get randomForest for each of its TREE, to get ALL sample from some strata to build tree, while leaving some strata TOTALLY untouched as oob? e.g. in below, how I can tell RF to, - for tree 1 in the forest, to use only Site A and B to build the tree, while using the WHOLE Site C data for the oob error

Generically, yes, the hardware is supported. On Mon, Sep 18, 2017 at 11:42 PM, <ygrishin-lists at mail2.ca> wrote: > I will update the thread as soon as I get the hardware back. It was > something serious like artifacts or no video in X so that I had to resort to > proprietary drivers. > So the question is whether this hardware is supported or not. > > > On 2017-09-18

Just out of curiosity, I took the default "iris" example in the RF helpfile... but seeing the admonition against using the formula interface for large data sets, I wanted to play around a bit to see how the various options affected the output. Found something interesting I couldn't find documentation for... Just like the example... > set.seed(12) # to be sure I have

now I am learining random forest and using random forest package, I can get the OOB error rates, and test set rate, now I want to get the training set error rate, how can I do? pgp.rf<-randomForest(x.tr,y.tr,x.ts,y.ts,ntree=1e3,keep.forest=FALSE,do.trace=1e2) using the code can get oob and test set error rate, if I replace x.ts and y.ts with x.tr and y.tr,respectively, is the error rate

Gracias Carlos. No uso caret, pero lo miraré. Quoting Carlos Ortega <cof en qualityexcellence.es>: > Hola, > > Creo que si utilizas "caret" y en la función "trainControl()" defines "oob" > como criterio de randomización, puedes luego recuperar del objeto del > modelo, las predicciones individuales... > > Saludos, > Carlos Ortega >

Dear R-helpers, I'm working on mass spectra in randomForest/R, and following the recommendations for the case of noisy variables, I don't want to use the default mtry (sqrt of nvariables), but I'm not sure up to which proportion mtry/nvariables it makes sense to increase mtry without "overtuning" RF. Let me tell my example: I have 106 spectra belonging to 4 classes, the