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kernlab (version 0.1-4)
Kernel Methods Lab
Description
Kernel-based machine learning methods including support vector machines.
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0.1-4
Install
install.packages('kernlab')
Monthly Downloads
79,895
Version
0.1-4
License
GPL version 2 or newer
Maintainer
Alexandros Karatzoglou
Last Published
August 10th, 2018
Functions in kernlab (0.1-4)
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gausspr-class
Class "gausspr"
income
Income Data
chol.reduce
Incomplete Cholesky decomposition
ksvm
Support Vector Machines
predict.ksvm
predict method for support vector object
gausspr
Gaussian processes for regression and classification
inc.chol-class
Class "inc.chol"
kcca-class
Class "kcca"
kpca-class
Class "kpca"
kcca
Kernel Canonical Correlation Analysis
ipop
Quadratic Programming Solver
dots
Kernel Functions
ticdata
The Insurance Company Data
specc-class
Class "specc"
rvm-class
Class "rvm"
kpca
Kernel Principal Components Analysis
spirals
Spirals Dataset
kernelMatrix
Kernel Matrix functions
spam
Spam E-mail Database
ipop-class
Class "ipop"
specc
Spectral Clustering
ksvm-class
Class "ksvm"
sigest
Hyperparameter estimation for the Gaussian Radial Basis kernel
kernel-class
Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel"
couple
Probabilities Coupling function
rvm
Relevance Vector Machine