probsvm: probsvm: Class probability estimation for Support Vector Machines
Version 1.00

This package provides multiclass conditional probability estimation for the SVM, which is distributional assumption free.

AuthorChong Zhang, Seung Jun Shin, Junhui Wang, Yichao Wu, Hao Helen Zhang, and Yufeng Liu
Date of publication2013-05-19 08:15:01
MaintainerChong Zhang <chongz@live.unc.edu>
LicenseGPL-2
Version1.00
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("probsvm")

Popular man pages

predict.probsvm: Prediction function that provides class label prediction and...
probsvm: Main function that provides models for multiclass conditional...
See all...

All man pages Function index File listing

Man pages

predict.probsvm: Prediction function that provides class label prediction and...
probsvm: Main function that provides models for multiclass conditional...

Functions

Kmat Source code
PiSolveKstar Source code
loglik.svm Source code
pi.path Source code
pred.cz Source code
predict.probsvm Man page Source code
predict_pipathresults Source code
prob.svm Source code
probsvm Man page Source code
sub.pipath Source code

Files

MD5
R
R/wvec.R
R/sub.pipath.R
R/SetToIndex.R
R/probsvm.R
R/prob.svm.R
R/predict_pipathresults.R
R/predict.probsvm.R
R/pred.cz.R
R/PiSolveKstar.R
R/pi.path.R
R/pi.initialization.R
R/loglik.svm.R
R/Kmat.R
R/IndexToSet.R
R/empty.solution.R
NAMESPACE
man
man/probsvm.Rd
man/predict.probsvm.Rd
inst
inst/doc
inst/doc/probsvm.pdf
DESCRIPTION
probsvm documentation built on May 19, 2017, 11:57 a.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.