similar to: RandomForest

Hola a todos...Auxilio, estoy varado en esto y creo que mi terquedad no me deja avanzar ... terquedad ya que estoy usando la estructura data.table y no logro obtener el resultado. Tengo una DT contiene un DATO y los resultados de la aplicación de una validación (ERR01, ERR2, ERR3) y la concatenación de estos errores en una sola columna. Si tiene error, graba el número del error, si no lo tiene,

Hello, I faced something I can't understand. When I use boxplot.stats(1:10) and quantiles(1:10) the results are different for 25% and 75%: > boxplot.stats(1:10) $stats [1] 1.0 3.0 5.5 8.0 10.0 > quantile(1:10) 0% 25% 50% 75% 100% 1.00 3.25 5.50 7.75 10.00 Actually, I expected the value 3 for 25% and 8 for 75% as results of quantile(1:10). Can you please explain me

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

The attached patch: 1. Converts the shutdown driver and xend to use the store instead of control messages, 2. Includes Anthony''s xenstore notification code, and 3. Changes xend so that sysrq''s are no longer sent as "special case" shutdown messages. Store keys are cheap, so making the sysrq delivery less obscure is good. I think I have made all of the

Dear all, After a thorough research, I still find myself unable to find a function that does linear regression of 2 vectors of data using the "total least squares", also called "orthogonal regression" (see : http://en.wikipedia.org/wiki/Total_least_squares) instead of the "ordinary least squares" method. Indeed, the "lm" function has a

Hello again I'm trying to put error bars onto a barplot. I've tried something that Bill Simpson suggested a while ago, ie: x<-c(1,2,3,4,5) y<-c(1.1, 2.3, 3.0, 3.9, 5.1) ucl<-c(1.3, 2.4, 3.5, 4.1, 5.3) lcl<-c(.9, 1.8, 2.7, 3.8, 5.0) plot(x,y, ylim=range(c(lcl,ucl))) arrows(x,ucl,x,lcl,length=.05,angle=90,code=3) #or segments(x,ucl,x,lcl) but I can't get it to work on a

v2: - Fixes a number of bugs in corner cases. - Uses a 1M block size to fetch from the underlying plugin. This improves performance considerably. I also tested this much more thoroughly and can't find any more bugs. Rich.

Dear R-brains, I'm rather new to state-space models and would benefit from the extra confidence in using the excellent package sspir. In a one-factor model, If I am trying to do a simple regression where I assume the intercept is constant and the 'Beta' is changing, how do I do that? How do i Initialize the filter (i.e. what is appropriate to set m0, and C0 for the example below)?

I believe this roughly implements Nir's proposal here: https://www.redhat.com/archives/libguestfs/2020-August/msg00028.html Unfortunately it doesn't work for me. It actually slows things down quite a lot, for reasons I don't understand. Note the adjustment of the pool-max parameter and how it affects the total time. The results are quite reproducible. $ ./nbdkit -r -U - vddk

Further cleanup of the hv drivers. 1) Cleanup reference counting. 2) Handle all block devices using the storvsc driver. I have modified the implementation here based on Christoph's feedback on my earlier implementation. 3) Fix bugs. 4) Accomodate some host side scsi emulation bugs. 5) In case of scsi errors off-line the device. This patch-set further reduces the size of

Further cleanup of the hv drivers. 1) Cleanup reference counting. 2) Handle all block devices using the storvsc driver. I have modified the implementation here based on Christoph's feedback on my earlier implementation. 3) Fix bugs. 4) Accomodate some host side scsi emulation bugs. 5) In case of scsi errors off-line the device. This patch-set further reduces the size of

Matt asked if xz should really be a filter rather than a plugin. The answer is yes, of course it should be! That's been something in the todo file for a while. The commit converts the xz plugin code into a filter (leaving the plugin around, but deprecating it). plugin: nbdkit xz file.xz filter: nbdkit --filter=xz file file.xz plugin: # can't be done filter: nbdkit

We had a query yesterday about the VDDK plugin and making it actually obey the weird "Multithreading Considerations" rules in the VDDK documentation (https://vdc-download.vmware.com/vmwb-repository/dcr-public/8f96698a-0e7b-4d67-bb6c-d18a1d101540/ef536a47-27cd-481a-90ef-76b38e75353c/vsphere-vddk-671-programming-guide.pdf) This patch is my attempt to implement this. The idea is that the

I have puppet running on WEBrick. Dashboard works. I can see the hosts currently in puppet. In Dashboard I can add hosts and create groups, but cannot add classes. The auto-search returns nothing when I click on a group or server and start typing in the Classes textbox. Is this a common occurrence with Dashboard? I have looked on the web and found no answer. Appreciate any pointers. Thanks.

Greetings. I'm trying to determine whether to use rpart or randomForest for a classification tree. Has anybody tested efficacy formally? I've run both and the confusion matrix for rf beats rpart. I've looking at the rf help page and am unable to figure out how to extract the tree. But more than that I'm looking for a more comprehensive user's guide for randomForest including

R-help - I'm trying to create axis breaks similar to this : http://www.r-bloggers.com/wp-content/uploads/2010/08/bar-chart-natural-axis-split1.png . Is there a way to do this in R? Here's my code thus far: structure(list(condition = structure(c(2L, 1L, 3L), .Label = c("con", "exp", "unedit"), class = "factor"), trial.avg = c(4.04583333333333,

Hi, I scribbled a simple guestfs based program called guestfs-xfer with following synopsis: Usage: guest-xfer [options] [op] [diskimage] op = [ls|cat|write] options: -d, --guestdevice DEV guest device --blocksize BS blocksize [default: 1048576] -o, --offset OFF offset [default: 0] So eg. `cat /dev/urandom | guest-xfer -d /dev/sda

When working in development mode, do non-AR models reload? I''m not seeing changes I make reflected in the app unless I restart webrick, so I''m assuming the answer is no. How would get these model objects to reload just as their AR decendant brothers and sisters do? --Ryan

This is my second attempt at this. The first version (also not working) was here: https://www.redhat.com/archives/libguestfs/2019-October/msg00062.html In part 1/2 I introduce a new .ready_to_serve plugin method which is called after forking and just before accepting any client connection. The idea would be that plugins could start background threads here. However this doesn't work well in

Hi folks, just installed the new llvm 1.9 build and noticed that my code no longer worked. It seems something has changed with addPassesToEmitFile(). First, the arguments to that method changed so that it no longer takes a PassManager, but only a FunctionPassManager. Instead there is a addPassesToEmitWholeFile() method, but that is marked as optional, and when I change my code to