Package: kernlab 0.9-33

Alexandros Karatzoglou

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]

kernlab_0.9-33.tar.gz
kernlab_0.9-33.tar.gz(r-4.5-noble)kernlab_0.9-33.tar.gz(r-4.4-noble)
kernlab_0.9-33.tgz(r-4.4-emscripten)kernlab_0.9-33.tgz(r-4.3-emscripten)
kernlab.pdf |kernlab.html
kernlab/json (API)

# Install 'kernlab' in R:
install.packages('kernlab', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:

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

12.31 score 21 stars 485 packages 7.6k scripts 89k downloads 157 mentions 89 exports 0 dependencies

Last updated 4 months agofrom:d8f05c9b1b. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 18 2024
R-4.5-linux-x86_64OKNov 18 2024

Exports:alphaalphaindexanovadotas.kernelMatrixAsymboundAsympH0bbesseldotbuffercenterscoefconvergencecouplecrosscsidiagresiduesdualedgegrapheigerrorfittedgaussprH0howincholinlearnipopkcallkccakcorkernelfkernelFastkernelMatrixkernelMultkernelPolkfakhakkmeanskmmdkparkpcakqrksvmlaplacedotlevlssvmmaxresidualsmlikemmdstatsnSVnvarobjonlearnparampcvpivotsplotpolydotpredgainpredictprimalpriorprob.modelQRRadboundrankingrbfdotrhorotatedRVindexrvmscalingshowsigestsizespeccsplinedotstringdotSVindextanhdottruegaintypevanilladotwithinssxcoefxmatrixycoefymatrix

Dependencies:

kernlab - An S4 Package for Kernel Methods in R

Rendered fromkernlab.Rnwusingutils::Sweaveon Nov 18 2024.

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

Readme and manuals

Help Manual

Help pageTopics
Assing kernelMatrix class to matrix objectsas.kernelMatrix as.kernelMatrix,matrix-method as.kernelMatrix-methods kernelMatrix-class
Probabilities Coupling functioncouple
Cholesky decomposition with Side Informationcsi 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 Functionsanovadot besseldot dots fourierdot kernels kfunction kpar laplacedot polydot rbfdot show,kernel-method splinedot tanhdot vanilladot
Gaussian processes for regression and classificationcoef,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 decompositioninchol inchol,matrix-method
Class "inchol"diagresidues diagresidues,inchol-method inchol-class maxresiduals maxresiduals,inchol-method pivots pivots,inchol-method
Income Dataincome
Onlearn object initializationinlearn inlearn,numeric-method
Quadratic Programming Solveripop ipop,ANY,matrix-method
Class "ipop"dual dual,ipop-method how how,ipop-method ipop-class primal primal,ipop-method
Kernel Canonical Correlation Analysiskcca 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 functionskernelFast 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 Analysiscoef,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 Analysiskha 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-meanskkmeans 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 Analysiskpca 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 Machinescoef,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 Machinecoef,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 setmusk
Kernel Online Learning algorithmsonlearn 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 objectplot,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 objectpredict,gausspr-method predict.gausspr
Predict method for kernel Quantile Regression objectpredict,kqr-method predict.kqr
predict method for support vector objectpredict,ksvm-method predict.ksvm
E. coli promoter gene sequences (DNA)promotergene
Rankingranking 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 Datareuters rlabels
Relevance Vector Machinecoef,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 kernelsigest sigest,formula-method sigest,matrix-method
Spam E-mail Databasespam
Spectral Clusteringshow,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 Datasetspirals
String Kernel Functionsstringdot
The Insurance Company Dataticdata
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