kernlab v0.9-29

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Functions in kernlab

Name Description
csi-class Class "csi"
ipop Quadratic Programming Solver
ipop-class Class "ipop"
inlearn Onlearn object initialization
kcca-class Class "kcca"
kernel-class Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel"
kcca Kernel Canonical Correlation Analysis
kfa Kernel Feature Analysis
kfa-class Class "kfa"
kha-class Class "kha"
kernelMatrix Kernel Matrix functions
kpca-class Class "kpca"
kpca Kernel Principal Components Analysis
kmmd Kernel Maximum Mean Discrepancy.
kmmd-class Class "kqr"
ksvm-class Class "ksvm"
predict.gausspr predict method for Gaussian Processes object
prc-class Class "prc"
rvm-class Class "rvm"
predict.kqr Predict method for kernel Quantile Regression object
specc-class Class "specc"
musk Musk data set
specc Spectral Clustering
onlearn-class Class "onlearn"
ksvm Support Vector Machines
ticdata The Insurance Company Data
rvm Relevance Vector Machine
kha Kernel Principal Components Analysis
vm-class Class "vm"
predict.ksvm predict method for support vector object
lssvm-class Class "lssvm"
kkmeans Kernel k-means
lssvm Least Squares Support Vector Machine
kqr-class Class "kqr"
ranking-class Class "ranking"
promotergene E. coli promoter gene sequences (DNA)
kqr Kernel Quantile Regression.
plot plot method for support vector object
spam Spam E-mail Database
onlearn Kernel Online Learning algorithms
sigest Hyperparameter estimation for the Gaussian Radial Basis kernel
spirals Spirals Dataset
stringdot String Kernel Functions
reuters Reuters Text Data
ranking Ranking
inchol Incomplete Cholesky decomposition
dots Kernel Functions
couple Probabilities Coupling function
as.kernelMatrix Assing kernelMatrix class to matrix objects
gausspr Gaussian processes for regression and classification
income Income Data
gausspr-class Class "gausspr"
inchol-class Class "inchol"
csi Cholesky decomposition with Side Information
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Vignettes of kernlab

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A.cls
jss.bib
kernlab.Rnw
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