probsvm: probsvm: Class probability estimation for Support Vector Machines

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

Author
Chong Zhang, Seung Jun Shin, Junhui Wang, Yichao Wu, Hao Helen Zhang, and Yufeng Liu
Date of publication
2013-05-19 08:15:01
Maintainer
Chong Zhang <chongz@live.unc.edu>
License
GPL-2
Version
1.00

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Man pages

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

Files in this package

probsvm
probsvm/MD5
probsvm/R
probsvm/R/wvec.R
probsvm/R/sub.pipath.R
probsvm/R/SetToIndex.R
probsvm/R/probsvm.R
probsvm/R/prob.svm.R
probsvm/R/predict_pipathresults.R
probsvm/R/predict.probsvm.R
probsvm/R/pred.cz.R
probsvm/R/PiSolveKstar.R
probsvm/R/pi.path.R
probsvm/R/pi.initialization.R
probsvm/R/loglik.svm.R
probsvm/R/Kmat.R
probsvm/R/IndexToSet.R
probsvm/R/empty.solution.R
probsvm/NAMESPACE
probsvm/man
probsvm/man/probsvm.Rd
probsvm/man/predict.probsvm.Rd
probsvm/inst
probsvm/inst/doc
probsvm/inst/doc/probsvm.pdf
probsvm/DESCRIPTION