similar to: package e1071 upgrade

A new version of e1071 has been released to CRAN which should be much easier to install on a lot of platforms because reading/writing PNM images has been moved to the pixmap package, hence there are no longer dependencies on external libraries and no configure mechanism. For the authors, Fritz Leisch ********************************************************** Changes in Version 1.2-0: o

Hello, all experts, My major is computer-aied drug design ( main QSAR). Now, my paper need be reviesed, and one reviewer ask me do genetic algorithm coupled with gaussian process method (GA+GP). my data: training set: 191*106 test set: 73*106 here, I need use GA+GP to do variable selection when building the model. In R, there are not GA package like in matlab

Hi, You should also check my msc.features.select from caMassClass package. It has feature selection algorithm that I found useful in case of mass-spectra data. It performs individual feature selection and/or removes highly correlated neighbor features. Jarek -----Original Message----- From: r-help-bounces at stat.math.ethz.ch [mailto:r-help-bounces at stat.math.ethz.ch] Sent: Friday, January

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

I'm not sure what the parameter specifies: random if an integer value is specified, random parameter vectors are drawn from the parameter space. What are the parameter vectors and what is the parameter space? What means drawn? greetings Jessi [[alternative HTML version deleted]]

Hello, I have an SVM model previously calibrated using libsvm R implementation from the e1071 package. I would like to use this SVM to predict values, from a Java program. I first tried to use jlibsvm and the "standard" java implementation of libsvm, without success. Thus, I am now considering writing data in files from my Java code, calling an R program to predict values, then gather

I am accustomed to the LIBSVM package, which provides cross-validation on training with the -v option % svm-train -v 5 ... This does 5 fold cross validation while building the model and avoids over-fitting. But I don't see how to accomplish that in the e1071 package. (I learned that svm(... cross=5 ...) only _tests_ using cross-validation -- it doesn't affect the training.) Can

Dear all, I am currently looking for a book about support vector machines for regression and classification and am a bit lost since they are plenty of books dealing with this subject. I am not totally new to the field and would like to get more information on that subject for later use with the e1071 <http://cran.r-project.org/web/packages/e1071/index.html> package for instance. Does

Dear David, Dear Friends, After any running svm I receive different results of Error estimation of 'svm' using 10-fold cross validation. What is the reason ? It is caused by the algorithm, libsvm , e1071 or something els? Which value can be optimal one ? How much run can reach to the optimality.And finally, what is difference between Error estimation of svm using 10-fold cross validation

As mentioned earlier I want to decentralize the package descriptions of all contributed packages: Please make sure to include a file called DESCRIPTION in every package which looks like: ********************************************************** Package: e1071 Version: 0.7-3 Author: Compiled by Fritz Leisch <Friedrich.Leisch at ci.tuwien.ac.at>. Description: Miscellaneous functions used

As mentioned earlier I want to decentralize the package descriptions of all contributed packages: Please make sure to include a file called DESCRIPTION in every package which looks like: ********************************************************** Package: e1071 Version: 0.7-3 Author: Compiled by Fritz Leisch <Friedrich.Leisch at ci.tuwien.ac.at>. Description: Miscellaneous functions used

As mentioned earlier I want to decentralize the package descriptions of all contributed packages: Please make sure to include a file called DESCRIPTION in every package which looks like: ********************************************************** Package: e1071 Version: 0.7-3 Author: Compiled by Fritz Leisch <Friedrich.Leisch at ci.tuwien.ac.at>. Description: Miscellaneous functions used

I am starting to use svm from e1071 and I wonder how exactly crossvalidation is implemented. Whenever I run > svm.model <- svm(y ~ ., data = trainset, cross = 3) on my data I get dirrerent values for svm.model$MSE e.g. [1] 0.9517001 1.7069627 0.6108726 [1] 0.3634670 0.9165497 1.4606322 This suggests to me that data are scrambled each time - the last time I looked at libsvm python

I was trying to install e1071 and the compilation failed. Can some of you R gurus help me with this... thanks pedro ---- Installing package `e1071' ... libs gcc -g -fpic -I/usr/local/R/include -c pgm.c -o pgm.o pgm.c:19: pgm.h: No such file or directory make: *** [pgm.o] Error 1 cp: src-c/*.so: No such file or directory R DONE ----- Pedro Vale Lima Dep. Chemical Eng.

Hi All, In package e1071 for SVM based classification, one can get a probability measure for each prediction. I like to know what is method that is used for calculating this probability. Is it calculated using logistic link function? Thanks for your help. Regards, Raj

Hello. R's e1071 package has "allShortestPaths" function using Floyd's algorithm. It is very useful for road network analysis. I'll try to analyze facility allocation programs using this. I'd like to know how much nodes this function can deal with? And for larger nodes(for example million nodes), allShortestPaths employs graph partition algorithm? Regards.

I've put all ``current'' add-on packages into CRAN's source/contrib tree and created an INDEX file (attached below). As you can see, currently we have acepack bootstrap ctest date e1071 fracdiff gee jpn snns splines survival4 (Yes, e1071 and jpn are new ... more on the latter in a later mail.) In the near future, I am hoping for the following: oz (Bill

On 02/21/2017 12:07 PM, Yunchih Chen wrote: > On 02/20/2017 09:10 PM, Michal Privoznik wrote: >> On 17.02.2017 17:18, Yunchih Chen wrote: >>> `virsh list` hangs on my server that hosts a bunch of VMs. >>> This might be due to the Debian upgrade I did on Feb 15, which upgrades >>> `libvirt` from 2.4.0-1 to 3.0.0-2. >>> I have tried restarting libvirtd

Hi all, I am using the "svm" command in the e1071 package. Does it have an automatic way of setting the "cost" parameter? I changed a few values for the "cost" parameter but I hope there is a systematic way of obtaining the best "cost" value. I noticed that there is a "cross" (Cross validation) parameter in the "svm" function. But I

A new package called `pixmap' has been released on CRAN. From the DESCRIPTION file: Package: pixmap Version: 0.2-1 Title: Bitmap Images (``Pixel Maps'') Depends: R (>= 1.3) Author: Friedrich Leisch and Roger Bivand Maintainer: Friedrich Leisch <Friedrich.Leisch at ci.tuwien.ac.at> Description: Functions for import, export, plotting and other manipulations of bitmapped