similar to: formula and class label

Hi, Could you please tell me whether SVM can do multiple regression or not? Cheers, Amy _________________________________________________________________ Browse profiles for FREE! Meet local singles online. [[alternative HTML version deleted]]

Hi Could you please explain the line that I got from the documentation of R? does it mean that there is a difference between using and not using the formula interface with SVM ?: If the predictor variables include factors, the formula interface must be used to get a correct model matrix. Cheers, Amy _________________________________________________________________ View photos of

hi, could you please tell me what kind of cross validation that SVM of e1071 uses? Cheers, Amy _________________________________________________________________ View photos of singles in your area! Looking for a hot date? [[alternative HTML version deleted]]

Hi, I understand from help pages that in order to use a data set with svm, I have to divide it into two files: one for the dataset without the class label and the other file contains the class label as the following code:- library(e1071) x<- read.delim("mydataset_except-class-label.txt") y<- read.delim("mydataset_class-labell.txt") model <- svm(x, y, cross=5)

Hi everybody, I am using the contour function to draw isobares. And i would like to to bold contours for an interval of 500m and weak contour for an interval of 100m. Can someone help me with this? Thanks a lot Karine _________________________________________________________________ [[elided Hotmail spam]] [[alternative HTML version deleted]]

Hi, Could you please tell me how I correct the following error message? “Error in object$tables[[v]] : subscript out of bounds” This is the code: library(e1071) data(iris) attach(iris) class_label <- names(iris)[1] myformula <- formula(paste(class_label,"~ .")) mymodel<-naiveBayes(myformula, iris,cross=3) predict(mymodel,iris) ##Error in object$tables[[v]] :

Hello List, I am having a great trouble using svm function in e1071 package. I have 4gb of data that i want to use to train svm. I am using Amazon cloud, my Amazon Machine Image(AMI) has 34.2 GB of memory. my R process was killed several times when i tried to use 4GB of data for svm. Now I am using a subset of that data and it is only 1.4 GB. i remove all unnecessary objects before calling

Dear R-devel, I've noticed that if the method for formula is not exported in NAMESPACE, then update() would fail. As an example: > library(e1071) > data(iris) > iris.svm <- svm(Species ~ ., data=iris) > update(iris.svm) Error in eval(expr, envir, enclos) : couldn't find function "svm.formula" The same thing happens with randomForest, because

Hi all, This feature was throwing me for a loop for quite some time until I played with the names of the slots. Consider exhibit A: ============== setClass("SVM", representation=representation( x='numeric', y='numeric', C='numeric', eps='numeric'), prototype=prototype( x=numeric(),

dear all, I am a student in cs college. I would like to know how to plot infinte number of genes after using the svm. the data set i have consists of x which is a matrix of 39 cancer patients [rows] and 2000 gene names [colmns]. each cell is the value of the gene for a particular patient. there are two types of cancer people representedas factor y. here is the code: library(e1071) #load

Hello all, I'm trying to store some objects (class = "svm") , but if I use a list the objects get somehow converted and I can't retrieve them as objects of type "svm". So how to I properly store objects of that kind? best regards ----------- library(e1071) data(iris) attach(iris) ## classification mode # default with factor response: model <- svm(Species ~ .,

Hello users! I'm calculating a simple model using svm(...) from the e1071 package. So far so good, with a linear kernel I'm getting 5 SVs. When plotting the result I see very well separated data clouds, but the underlying color is constantly pink, so as far as I understand no class separation is shown... I would be happy if anyone could explain me this behaviour because I think I have a

Hi, I was womdering, if anyone has experienced the same issues. When I run the tests after compiling 2.3.5, the following 4 tests fail: http payload echo (ssl): sequential .................................. : ok http payload echo (ssl): pipeline .................................... : ok http payload echo (ssl): parallel .................................... : FAILED: Test is hanging http payload

Hi R Experts, Just wanted to know if there's any package in R that can be used for multi-class multi-label SVM classification(classes are not mutually exclusive). I am using the e1071 package for multi class classifications (here there are N mutually exclusive classes) , not sure if the same can be used for multi class & multi label classifications as well. Many thanks for the help in

Hi! I am using R 1.8.1 and the svm of the e1071 package for classification. The problem is that I have unbalanced classes e.g. the first one is much bigger than the second one and therfore the svm is biased to the first class. If I manually adjust the class size the bias disappears. The question is then how to include this unequal class distribution to the svm (e.g. via wheights or costs)?

Akemi, The usernames for YatinKarel and JavierPena should be corrected now as well. Thanks for all your assistance, Amy *Amy Marrich* She/Her/Hers Principal Technical Marketing Manager - Cloud Platforms Red Hat, Inc <https://www.redhat.com/> amy at redhat.com Mobile: 954-818-0514 Slack: amarrich IRC: spotz <https://www.redhat.com/> On Sun, Jan 24, 2021 at 5:52 PM Akemi

On Sun, Jan 24, 2021 at 1:12 PM Amy Marrich <amy at redhat.com> wrote: > Ok updated to Camel Case - AmyMarrich. I'll let the others know as well. > > Thanks, > > Amy > > *Amy Marrich* > > She/Her/Hers > > Principal Technical Marketing Manager - Cloud Platforms > > Red Hat, Inc <https://www.redhat.com/> > > amy at redhat.com > >

Ok updated to Camel Case - AmyMarrich. I'll let the others know as well. Thanks, Amy *Amy Marrich* She/Her/Hers Principal Technical Marketing Manager - Cloud Platforms Red Hat, Inc <https://www.redhat.com/> amy at redhat.com Mobile: 954-818-0514 Slack: amarrich IRC: spotz <https://www.redhat.com/> On Sun, Jan 24, 2021 at 1:22 PM Akemi Yagi <amyagi at gmail.com>

On Sat, Jan 23, 2021 at 2:38 PM Amy Marrich <amy at redhat.com> wrote: > > On Fri, Jan 22, 2021 at 7:58 PM Akemi Yagi <amyagi at gmail.com> wrote: > >> On Thu, Jan 21, 2021 at 11:50 AM Amy Marrich <amy at redhat.com> wrote: >> >>> I'd like to request access to >>> https://wiki.centos.org/SpecialInterestGroup/Cloud for the following

Hello. I am trying to remove from my dataframe, those rows in which the first 7 columns are duplicated even if subsequent columns make those rows unique. df<-data.frame(id=rep(c('amy','bob','joe') , each=5), pet1=sample(LETTERS[1:3],15, replace=T), pet2=sample(LETTERS[1:3],15, replace=T), pet3=sample(LETTERS[1:5],15, replace=T)) >df id pet1 pet2