similar to: The formula interface of SVM

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, 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, 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, Could you please tell me whether there is a difference in the result of svm when using formula instead of class label? Cheers, Amy _________________________________________________________________ Browse profiles for FREE! Meet local singles online. [[alternative HTML version deleted]]

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]]

Hello I have a data array with soil variables (caperf), in which the variable "clay" is factor (as I see entering str(caperf)) . I need to do a regression model, so I need to have arcilla (=clay) as a numeric variable.? For that I have entered as.numeric(as.character(arcilla)) and even entering 'as.numeric(levels(arcilla))[arcilla]'the variable is resting as factor, and the

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]] :

Dear community, I'm performing svm-regression with svm at library e1071. As I wrote in another post: "svm e1071 call - different results", I get different results if I use the svm.default rather than the svm.formula, being better the ones at svm.formula I've debugged both options. While debugging the svm.formula, I've seen that when I reach the call: ret <-

On Thu, 11 Jan 2018 12:20:45 +0200, Aki Tuomi wrote: > Was the certificate path bundled in the server certificate? No, as a separate file, provided from the local (intermediate) CA: ssl_cert = </etc/openssl/certs/server.cert ssl_key = </etc/openssl/private/server.key ssl_ca = </etc/openssl/certs/ca-cert-chain.pem Worked fine with 2.2.x, 2.3 gives % openssl s_client -connect XXX:993

Hi all, I don't know how to choose the formula to use when plotting an svm model, I think I'm using the wrong one and so that is why I'm having trouble. I should be very grateful if someone could help me on this.. > dados<-read.table("b.txt",sep="",nrows=30000) >

On 11.01.2018 13:20, Hauke Fath wrote: >/On Thu, 11 Jan 2018 12:20:45 +0200, Aki Tuomi wrote: />>/Was the certificate path bundled in the server certificate? />/No, as a separate file, provided from the local (intermediate) CA: />//>/ssl_cert = </etc/openssl/certs/server.cert />/ssl_key = </etc/openssl/private/server.key />/ssl_ca =

All, our dovecot installation provides a bundle of intermedia CA certificates using the ssl_ca option. 2.3.0 does not supply the bundle, resulting in various clients either complaining about an unverifiable server cert, or quietly not connecting. The log has Jan 5 17:01:46 Bounce dovecot: imap-login: Disconnected (no auth attempts in 0 secs): user=<>, rip=XXX, lip=YYY, TLS

Does anyone know the maximum dimension that svm can deal with in R? I am working on support vector regression. My data set is 1721*41030 1721 samples 41030 predictors Some information about my machine: cat /proc/cpuinfo processor : 0 vendor_id : GenuineIntel cpu family : 15 model : 4 model name : Intel(R) Xeon(TM) CPU 2.80GHz stepping

Dear everyone, Your code is slow and you are interested in performance optimization for scientific software? Figuring out where’s the bottlenecks guided by performance evaluation tools. If you are interested in porting your code to a HPC hardware platform and architecture, than OpenACC as a user-driven directive-based performance-portable parallel programming model might be a solution. What are

Hi! More than a week ago I sent the below-mentioned message but did not receive any answer. I think that the subject heading was not correct, and so I changed it. Hope that I will get an answer now. Olaf -------------------- Von: Boldt, Olaf (HVBG) Gesendet: Mittwoch, 27. April 2011 14:58 An: 'samba at lists.samba.org' Betreff: Problems with Squid and Active Directory Hello! Since a

Hello, I'm using the e1071 library for SVM functions. I can quickly train an SVM with: svm(formula = label ~ ., data = testdata) That works well. I want to tune the parameters, so I tried: tune.svm(label ~ ., data=testdata[1:2000, ], gamma=10^(-6:3), cost=10^(1:2)) THIS FAILS WITH AN ERROR: 'names' attribute [199] must be the same length as the vector [184] I don't

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Hello! We are new in using R. We use the SVM module from the library ''e1071'' for training. Problem formulation: a classification has been performed using SVM module (linear kernel). Later, a new data set (test set) comparable to the training data shall be scaled in the same way as the training set (using the same scaling parameter set, but without using the SVM again

I dont know how to tell to the function 'svm' in this two cases: tune.svm or tune (svm...) the type (I want regression, but by default it works with classification) and the specify kind of kernel (by default it work with radial)... thank you so much!!! -- View this message in context: http://r.789695.n4.nabble.com/How-to-use-tune-svm-or-tune-svm-for-regression-tp4643331.html Sent

Hello, I'm using recursive SVM script (rSVM - http://www.stanford.edu/group/wonglab/RSVMpage/R-SVM.html ) on some microarray data. The data to be input are log2, as numeric matrix w/ attributes -- str(svm_num_mat) num [1:10, 1:12340] 13.1 13.1 13.1 13.1 13.0 ... - attr(*, "dimnames")=List of 2 ..$ : chr [1:10] "rma_log2_con_sample_1"