search for: oobe

Hi Andreas, On Mon, May 18, 2020 at 9:56 AM Andreas Schwab <schwab at linux-m68k.org> wrote: > > On Mai 18 2020, Michael Ellerman wrote: > > > The old drivers may be crufty but they presumably have been tested by > > people and at least somewhat work. > > I can confirm that the nvidia fbdev driver is working perfectly fine. > > > I gave it a quick spin on

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) =>

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

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

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%

https://bugzilla.netfilter.org/show_bug.cgi?id=876 Summary: bizarre handling of "related" connection packets (wrong OUTPUT interface assigned) Product: netfilter/iptables Version: unspecified Platform: x86_64 OS/Version: Fedora Status: NEW Severity: normal Priority: P5

I have an application that uses a 1-byte OOB packet for a heartbeat signal. It appears that openssh blocks these packets when I use it to forward to a remote port. The application works fine when connected to the server using the port forward, but all heartbeat packets are stripped out from the socket data. Is this intentional? Is it a bug? I've tried several versions of openssh without

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 >

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) [

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

Are there any known problems converting dtmf from oob over iax2 to inband over rtp/ulaw? Obviously it works when converting to inband over pri/ulaw et al, but how about rtp? I've got packet traces that confirm that 2833 packets are properly generated when I have 2833 configured for the rtp link, but the other side seems to be ignoring those packets. So I tried inband on that link; nothing

Muy buenas, ¿sabe alguien cómo obtener las predicciones sobre el out of bag que hace randomForest? Manuel . -- Dr Manuel Mendoza Department of Biogeography and Global Change National Museum of Natural History (MNCN) Spanish Scientific Council (CSIC) C/ Serrano 115bis, 28006 MADRID Spain

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

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"

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

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

Full_Name: Albrecht Gebhardt Version: 0.99.0 OS: alpha, osf4.0 Submission from: (NULL) (143.205.180.40) DEC cc doesn't like c++ style comments // like this one Please use standard cc comments or #if 0 ... #endif A quite large patch follows (I hope it will pass mailing with not too much wrapped lines): --- ./src/main/g_her_glyph.c.dec-cc.patch Mon Feb 7 14:48:10 2000 +++

Hello, I?m trying to configure a CentOS 7 server to act as a host for a bunch of virtual servers (KVM). I have an 802.3ad bonded Ethernet connected to the server with a bunch of tagged VLANs. I want to be able to build a bridge interface on the server for each VLAN and then attach that to the bond interface and the virtual clients. I also want to attach a host interface to one of the VLANs