Package: kernlab 0.9-33

kernlab: Kernel-Based Machine Learning Lab

Kernel-based machine learning methods for classification, regression, clustering, novelty detection, quantile regression and dimensionality reduction. Among other methods 'kernlab' includes Support Vector Machines, Spectral Clustering, Kernel PCA, Gaussian Processes and a QP solver.

Authors:Alexandros Karatzoglou [aut, cre], Alex Smola [aut], Kurt Hornik [aut], National ICT Australia [cph], Michael A. Maniscalco [ctb, cph], Choon Hui Teo [ctb]

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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
kernlab/json (API)

# Install 'kernlab' in R:

install.packages('kernlab', repos = c('https://alexkz.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

Datasets:

income - Income Data
musk - Musk data set
promotergene - E. coli promoter gene sequences
reuters - Reuters Text Data
rlabels - Reuters Text Data
spam - Spam E-mail Database
spirals - Spirals Dataset
ticdata - The Insurance Company Data

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblas cpp

12.37 score 22 stars 502 packages 10k scripts 71k downloads 157 mentions 89 exports 0 dependencies

Last updated from:d8f05c9b1b. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	198
linux-devel-x86_64	OK	154
source / vignettes	OK	201
linux-release-arm64	OK	173
linux-release-x86_64	OK	155
macos-release-arm64	OK	155
macos-release-x86_64	OK	274
macos-oldrel-arm64	OK	165
macos-oldrel-x86_64	OK	403
windows-devel	OK	151
windows-release	OK	161
windows-oldrel	OK	140
wasm-release	OK	94

Exports:alpha alphaindex anovadot as.kernelMatrix Asymbound AsympH0 b besseldot buffer centers coef convergence couple cross csi diagresidues dual edgegraph eig error fitted gausspr H0 how inchol inlearn ipop kcall kcca kcor kernelf kernelFast kernelMatrix kernelMult kernelPol kfa kha kkmeans kmmd kpar kpca kqr ksvm laplacedot lev lssvm maxresiduals mlike mmdstats nSV nvar obj onlearn param pcv pivots plot polydot predgain predict primal prior prob.model Q R Radbound ranking rbfdot rho rotated RVindex rvm scaling show sigest size specc splinedot stringdot SVindex tanhdot truegain type vanilladot withinss xcoef xmatrix ycoef ymatrix

Dependencies:

kernlab - An S4 Package for Kernel Methods in R

Introduction | kernlab | Kernel methods | Conclusions

Rendered fromkernlab.Rnwusingutils::Sweave

Last update: 2012-11-28
Started: 2012-11-28

Help page	Topics
Assing kernelMatrix class to matrix objects	as.kernelMatrix as.kernelMatrix,matrix-method as.kernelMatrix-methods kernelMatrix-class
Probabilities Coupling function	couple
Cholesky decomposition with Side Information	csi csi,matrix-method csi-methods
Class "csi"	csi-class diagresidues,csi-method maxresiduals,csi-method pivots,csi-method predgain predgain,csi-method Q Q,csi-method R R,csi-method truegain truegain,csi-method
Kernel Functions	anovadot besseldot dots fourierdot kernels kfunction kpar laplacedot polydot rbfdot show,kernel-method splinedot tanhdot vanilladot
Gaussian processes for regression and classification	coef,gausspr-method gausspr gausspr,formula-method gausspr,matrix-method gausspr,vector-method show,gausspr-method
Class "gausspr"	alpha,gausspr-method alphaindex,gausspr-method cross,gausspr-method error,gausspr-method gausspr-class kcall,gausspr-method kernelf,gausspr-method kpar,gausspr-method lev,gausspr-method scaling,gausspr-method type,gausspr-method xmatrix,gausspr-method ymatrix,gausspr-method
Incomplete Cholesky decomposition	inchol inchol,matrix-method
Class "inchol"	diagresidues diagresidues,inchol-method inchol-class maxresiduals maxresiduals,inchol-method pivots pivots,inchol-method
Income Data	income
Onlearn object initialization	inlearn inlearn,numeric-method
Quadratic Programming Solver	ipop ipop,ANY,matrix-method
Class "ipop"	dual dual,ipop-method how how,ipop-method ipop-class primal primal,ipop-method
Kernel Canonical Correlation Analysis	kcca kcca,matrix-method
Class "kcca"	kcca-class kcor kcor,kcca-method xcoef xcoef,kcca-method xvar,kcca-method ycoef ycoef,kcca-method yvar,kcca-method
Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel"	anovakernel-class besselkernel-class fourierkernel-class kernel-class kfunction-class kpar,kernel-method laplacekernel-class polykernel-class rbfkernel-class splinekernel-class stringkernel-class tanhkernel-class vanillakernel-class
Kernel Matrix functions	kernelFast kernelFast,anovakernel-method kernelFast,besselkernel-method kernelFast,kernel-method kernelFast,laplacekernel-method kernelFast,polykernel-method kernelFast,rbfkernel-method kernelFast,splinekernel-method kernelFast,stringkernel-method kernelFast,tanhkernel-method kernelFast,vanillakernel-method kernelMatrix kernelMatrix,anovakernel-method kernelMatrix,besselkernel-method kernelMatrix,kernel-method kernelMatrix,laplacekernel-method kernelMatrix,polykernel-method kernelMatrix,rbfkernel-method kernelMatrix,splinekernel-method kernelMatrix,stringkernel-method kernelMatrix,tanhkernel-method kernelMatrix,vanillakernel-method kernelMult kernelMult,anovakernel,ANY-method kernelMult,besselkernel,ANY-method kernelMult,character,kernelMatrix-method kernelMult,kernel-method kernelMult,laplacekernel,ANY-method kernelMult,polykernel,ANY-method kernelMult,rbfkernel,ANY-method kernelMult,splinekernel,ANY-method kernelMult,stringkernel,ANY-method kernelMult,tanhkernel,ANY-method kernelMult,vanillakernel,ANY-method kernelPol kernelPol,anovakernel-method kernelPol,besselkernel-method kernelPol,kernel-method kernelPol,laplacekernel-method kernelPol,polykernel-method kernelPol,rbfkernel-method kernelPol,splinekernel-method kernelPol,stringkernel-method kernelPol,tanhkernel-method kernelPol,vanillakernel-method
Kernel Feature Analysis	coef,kfa-method kfa kfa,formula-method kfa,matrix-method show,kfa-method
Class "kfa"	alpha,kfa-method alphaindex,kfa-method kcall,kfa-method kernelf,kfa-method kfa-class predict,kfa-method xmatrix,kfa-method
Kernel Principal Components Analysis	kha kha,formula-method kha,matrix-method predict,kha-method
Class "kha"	eig,kha-method eskm,kha-method kcall,kha-method kernelf,kha-method kha-class pcv,kha-method xmatrix,kha-method
Kernel k-means	kkmeans kkmeans,formula-method kkmeans,kernelMatrix-method kkmeans,list-method kkmeans,matrix-method
Kernel Maximum Mean Discrepancy.	Asymbound AsympH0 H0 kmmd kmmd,kernelMatrix-method kmmd,list-method kmmd,matrix-method mmdstats Radbound show,kmmd-method
Class "kqr"	Asymbound,kmmd-method AsympH0,kmmd-method H0,kmmd-method kernelf,kmmd-method kmmd-class mmdstats,kmmd-method Radbound,kmmd-method
Kernel Principal Components Analysis	kpca kpca,formula-method kpca,kernelMatrix-method kpca,list-method kpca,matrix-method predict,kpca-method
Class "kpca"	eig,kpca-method kcall,kpca-method kernelf,kpca-method kpca-class pcv,kpca-method rotated rotated,kpca-method xmatrix,kpca-method
Kernel Quantile Regression.	coef,kqr-method kqr kqr,formula-method kqr,kernelMatrix-method kqr,list-method kqr,matrix-method kqr,vector-method show,kqr-method
Class "kqr"	alpha,kqr-method alphaindex,kqr-method b,kqr-method cross,kqr-method error,kqr-method kcall,kqr-method kernelf,kqr-method kpar,kqr-method kqr-class param,kqr-method scaling,kqr-method xmatrix,kqr-method ymatrix,kqr-method
Support Vector Machines	coef,ksvm-method ksvm ksvm,formula-method ksvm,kernelMatrix-method ksvm,list-method ksvm,matrix-method ksvm,vector-method show,ksvm-method
Class "ksvm"	alpha,ksvm-method alphaindex alphaindex,ksvm-method b b,ksvm-method coef,vm-method cross,ksvm-method error,ksvm-method fitted,ksvm-method kcall,ksvm-method kernelf,ksvm-method kpar,ksvm-method ksvm-class lev,ksvm-method nSV nSV,ksvm-method obj obj,ksvm-method param param,ksvm-method prior prior,ksvm-method prob.model prob.model,ksvm-method scaling scaling,ksvm-method show SVindex SVindex,ksvm-method type,ksvm-method xmatrix,ksvm-method ymatrix,ksvm-method
Least Squares Support Vector Machine	coef,lssvm-method lssvm lssvm,formula-method lssvm,kernelMatrix-method lssvm,list-method lssvm,matrix-method lssvm,vector-method lssvm-methods predict,lssvm-method show,lssvm-method
Class "lssvm"	alpha,lssvm-method alphaindex,lssvm-method b,lssvm-method cross,lssvm-method error,lssvm-method kcall,lssvm-method kernelf,lssvm-method kpar,lssvm-method lev,lssvm-method lssvm-class nSV,lssvm-method param,lssvm-method scaling,lssvm-method type,lssvm-method xmatrix,lssvm-method ymatrix,lssvm-method
Musk data set	musk
Kernel Online Learning algorithms	onlearn onlearn,onlearn-method
Class "onlearn"	alpha,onlearn-method b,onlearn-method buffer buffer,onlearn-method fit,onlearn-method kernelf,onlearn-method kpar,onlearn-method onlearn-class predict,onlearn-method rho rho,onlearn-method show,onlearn-method type,onlearn-method xmatrix,onlearn-method
plot method for support vector object	plot,ksvm,missing-method plot,ksvm-method plot.ksvm
Class "prc"	eig eig,prc-method kcall,prc-method kernelf,prc-method pcv pcv,prc-method prc-class xmatrix,prc-method
predict method for Gaussian Processes object	predict,gausspr-method predict.gausspr
Predict method for kernel Quantile Regression object	predict,kqr-method predict.kqr
predict method for support vector object	predict,ksvm-method predict.ksvm
E. coli promoter gene sequences (DNA)	promotergene
Ranking	ranking ranking,kernelMatrix-method ranking,list-method ranking,matrix-method
Class "ranking"	convergence convergence,ranking-method edgegraph edgegraph,ranking-method ranking-class show,ranking-method
Reuters Text Data	reuters rlabels
Relevance Vector Machine	coef,rvm-method predict,rvm-method rvm rvm,formula-method rvm,kernelMatrix-method rvm,list-method rvm,matrix-method rvm,vector-method rvm-methods show,rvm-method
Class "rvm"	alpha,rvm-method cross,rvm-method error,rvm-method kcall,rvm-method kernelf,rvm-method kpar,rvm-method lev,rvm-method mlike mlike,rvm-method nvar nvar,rvm-method RVindex RVindex,rvm-method rvm-class type,rvm-method xmatrix,rvm-method ymatrix,rvm-method
Hyperparameter estimation for the Gaussian Radial Basis kernel	sigest sigest,formula-method sigest,matrix-method
Spam E-mail Database	spam
Spectral Clustering	show,specc-method specc specc,formula-method specc,kernelMatrix-method specc,list-method specc,matrix-method
Class "specc"	centers centers,specc-method kernelf,specc-method size size,specc-method specc-class withinss withinss,specc-method
Spirals Dataset	spirals
String Kernel Functions	stringdot
The Insurance Company Data	ticdata
Class "vm"	alpha alpha,vm-method cross cross,vm-method error error,vm-method fitted,vm-method kcall kcall,vm-method kernelf kernelf,vm-method kpar,vm-method lev lev,vm-method type type,vm-method vm-class xmatrix xmatrix,vm-method ymatrix ymatrix,vm-method

Package: kernlab 0.9-33

kernlab: Kernel-Based Machine Learning Lab

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