Displaying 20 results from an estimated 10000 matches similar to: "tree.control"
2002 Feb 21
2
question regarding to The tree Package for R
I have a problem with running the tree package (dec.8, 2001) for R. The
problem is,
it will only give me 5/6 terminal node and then stop, while using Splus's
tree on the
same data with the same specification give me hundreds of nodes.
Here's a little more background info:
R-1.4.1
Solaris 5.7
rpart (most recent version)
tree (..)
Splus 6.0
Solaris 5.7
tree
2002 Jul 07
1
Error in tree package
Hi.
I'm using the tree package to fit one tree from a training set.
I'm using the command:
hm.tr <-tree(X1~.,teste2, mindev = 0, minsize = 2)
and i get the error:
Error in "row.names<-.data.frame"(*tmp*, value = fit$node[1:n]) :
duplicate row.names are not allowed
the frameset, has 180 columns and 16000 rows.
The
2017 Sep 24
2
predict y tree
Estimados compañeros hace unos días instale la versión última de R
(3.4.1) en windows 10 y hoy me tiene loco el siguiente error cuando
ejecuto predict para un árbol de clasificación-regresión. El problema da
incluso con el ejemplo del comando predict
library(tree)
data(shuttle, package="MASS")
shuttle.tr <- tree(use ~ ., shuttle, subset=1:253,
mindev=1e-6,
2009 Apr 01
1
Request: Optimum value of cost complexity parameter "k" in "tree" package
Dear R community
I have a question regarding the value of cost complexity parameter "k" used in "tree" package for pruning purpose. Any help in finding the optimum value of "k" is requested. Please give some suggestion in this regard. In the example below i used k=0 but i don't know why? But if i use k=NULL, then it will not plot the resultant tree.
2017 Sep 24
2
predict y tree
Gracias Carlos miraré el fix y en su defecto intentaré mandar un mensaje
al autor. De todas las maneras espero que alguien lo pruebe en windows 10
Saludos,
Juan
El 24/09/2017 a las 20:32, Carlos Ortega escribió:
> Hola Juan Antonio,
>
> Acabo de instalar "tree" en Mac OSX y no aparece este error...
>
> > shuttle1 <- shuttle[254:256, ] # 3 missing cases
>
2010 Nov 04
1
cross-validation for choosing regression trees
Dear All,
We came across a problem when using the "tree" package to analyze our data
set.
First, in the "tree" function, if we use the default value "mindev=0.01",
the resulting regression tree has a single node. So, we set "mindev=0", and
obtain a tree with 931 terminal nodes.
However, when we further use the "cv.tree" function to run a 10-fold
2009 Apr 09
1
request: maximum depth reached problem
Dear R community
Hope all of you are fine. I have a question regarding the an error message. Actually, I am trying to generate classification trees using "tree" package. It works well but for some datasets e.g., wine, yeast, boston housing etc. it gives an error message.
Error in tree(V14 ~ ., data = training.data, method = c("recursive.partitioning"), :
maximum
2002 Mar 21
0
tree
Hi,
I have a dataframe, y, with 1000 rows and 266 columns. The first column
of y is a 2 level factor response; columns 2:266 are each ordinal
variables that can take on one of the values 1, 2, or 3.
I'm trying to fit a model with the calls:
(A) y.tree <- tree(pref~.,data=y,mindev=0,minsize=2)
and
(B) y.tree <- tree(pref~.,data=y,split='gini')
pref is the name of the factor
2001 Jun 09
1
tree() - Tree is too big
I am using tree() in the library tree to learn regression trees. Once in a
while I am getting the error "Tree is too big". From the same data set, but
with randomized subsets I am learning several tree model and in the end of
the day I would like to look at some of the properties across trees.
My problem: I have for loop containing a call to tree(). However, since
tree() returns an
2002 Jun 20
1
tree construction crashes (PR#1698)
Full_Name: Petr Savicky
Version: 1.5.0
OS: SuSE 7.2
Submission from: (NULL) (147.231.6.1)
The function tree() from the tree package crashes for certain input data.
All the information needed to reproduce the error (data, script, expected
error message) may be found at
http://www.cs.cas.cz/~savicky/tree_error/tree_error.tgz
Exactly the same error appeared at another computer running some RedHat
2007 Oct 28
1
tree problem
I am trying to use tree to partition a data set. The data set has 3924
observations. Partitioning seems to work for small subsets of the data,
but when I use the entire data set, no partitioning occurs. The
variables are:
RESP respondent to a survey (0 = not a respondent, 1 =
respondent)
AGE_P Age (continuous)
ORIGIN_I Hispanic Ethnicity (1 = Hispanic, 2 = non-Hispanic)
RACRECI2 Race
2015 Aug 20
3
[RFC] Improving integer divide optimization (related to D12082)
> On Aug 20, 2015, at 9:46 AM, Steve King <steve at metrokings.com> wrote:
>
> On Wed, Aug 19, 2015 at 10:58 PM, Mehdi Amini <mehdi.amini at apple.com> wrote:
>>
>> Isn’t the problem the fact that the patch makes it harder for a target to
>> get the generic code to reach its custom hook?
>> Now the "cheap pow2 sdiv” is merged with the generic
2015 Aug 10
2
load instruction erroneously removed by GVN
Hi,
On 08/07/2015 10:30 PM, Nick Lewycky wrote:
[...]
> Depends. What is the exact declaration of format_long?
>
>
> In the input .ll file it is:
>
> ; Function Attrs: minsize optsize
> define internal i16 @format_long(i16* %res.8.par, i16 %base.9.par,
> i32 %x.10.par) #3 {
>
> which is later changed somewhere in opt to:
>
> ;
2009 Feb 26
1
Random Forest confusion matrix
Dear R users,
I have a question on the confusion matrix generated by function randomForest.
I used the entire data
set to generate the forest, for example:
> print(iris.rf)
Call:
randomForest(formula = Species ~ ., data = iris, importance = TRUE,
keep.forest = TRUE)
confusion
setosa versicolor virginica class.error
setosa 50 0 0 0.00
2015 Aug 07
3
load instruction erroneously removed by GVN
On 08/07/2015 01:53 PM, Caldarale, Charles R wrote:
>> From: llvm-dev [mailto:llvm-dev-bounces at lists.llvm.org]
>> On Behalf Of Mikael Holmén via llvm-dev
>> Subject: [llvm-dev] load instruction erroneously removed by GVN
>
>> But between the load and the alloca there is also
>> call fastcc void @format_long(i16* %_tmp30, i16 10, i32 10), !dbg !22
>>
2001 Aug 17
1
problem executing tree package
Hi R-users,
I am a new user to R language for statistical
computing. I use a Windows 98 version. I downloaded
tree add-on package to the R base system( I verified
the local package submenu for the list of installed
packages).
But when I executed the following sample code given
in the manual. I received an error "Couldn't find
function tree"
> data(iris)
> ir.tr<-
2002 Aug 23
2
why delete.response?
Hi all,
I am running R1.5.0 under unix.
I recently used the function 'predict.tree' to make predictions with a
tree object and a dataframe of numeric items. The predict.tree internally,
calls a function 'delete.response'.
When I removed this function call from the source code of predict.tree, it
ran 10 times faster without any differences in the result obtained.
The
2004 Jul 16
3
rpart and TREE, can be the same?
Hi, all,
I am wondering if it is possible to set parameters of 'rpart' and 'tree'
such that they will produce the exact same tree? Thanks.
Auston Wei
Statistical Analyst
Department of Biostatistics and Applied Mathematics
The University of Texas MD Anderson Cancer Center
Tel: 713-563-4281
Email: wwei@mdanderson.org
[[alternative HTML version deleted]]
2005 Aug 14
1
How to add decision trees into a list?
Hi,
I am somewhat new to R so this question may be
foolish, but is it possible to add decision trees into
a list, array or vector in R?
I am trying to build a collection (ensemble) of
decision trees. Every time a new instance arrive I
need to get the prediction of each decision tree. I
have tried to add a decision tree into a variable but
without luck. Is a special package needed perhaps?
This
2013 Jan 15
2
[LLVMdev] RFC: Codifying (but not formalizing) the optimization levels in LLVM and Clang
On Mon, Jan 14, 2013 at 10:48 PM, Evan Cheng <evan.cheng at apple.com> wrote:
>
>
> Sent from my iPad
>
> On Jan 14, 2013, at 1:09 AM, Chandler Carruth <chandlerc at gmail.com> wrote:
>
> > This has been an idea floating around in my head for a while and after
> several discussions with others it continues to hold up so I thought I
> would mail it out.