Rdocumentation
powered by
Learn R Programming
⚠️
There's a newer version (0.9-33) of this package.
Take me there.
kernlab (version 0.2-2)
Kernel Methods Lab
Description
Kernel-based machine learning methods including support vector machines.
Copy Link
Link to current version
Version
Version
0.9-33
0.9-32
0.9-31
0.9-30
0.9-29
0.9-28
0.9-27
0.9-26
0.9-25
0.9-24
0.9-23
0.9-22
0.9-20
0.9-19
0.9-18
0.9-17
0.9-16
0.9-15
0.9-14
0.9-13
0.9-12
0.9-11
0.9-10
0.9-9
0.9-8
0.9-7
0.9-5
0.9-4
0.9-2
0.9-1
0.9-0
0.8-3
0.8-2
0.8-1
0.6-2
0.6-1
0.4-4
0.4-2
0.3-2
0.3-1
0.2-2
0.2-1
0.1-4
Install
install.packages('kernlab')
Monthly Downloads
83,311
Version
0.2-2
License
GPL version 2 or newer
Maintainer
Alexandros Karatzoglou
Last Published
August 10th, 2018
Functions in kernlab (0.2-2)
Search all functions
kcca-class
Class "kcca"
inc.chol-class
Class "inc.chol"
kcca
Kernel Canonical Correlation Analysis
income
Income Data
sigest
Hyperparameter estimation for the Gaussian Radial Basis kernel
ticdata
The Insurance Company Data
kernel-class
Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel"
specc
Spectral Clustering
predict.ksvm
predict method for support vector object
gausspr-class
Class "gausspr"
ranking-class
Class "ranking"
ksvm
Support Vector Machines
spam
Spam E-mail Database
gausspr
Gaussian processes for regression and classification
rvm-class
Class "rvm"
dots
Kernel Functions
kpca
Kernel Principal Components Analysis
kernelMatrix
Kernel Matrix functions
kpca-class
Class "kpca"
specc-class
Class "specc"
spirals
Spirals Dataset
couple
Probabilities Coupling function
ksvm-class
Class "ksvm"
ipop-class
Class "ipop"
ranking
Ranking
chol.reduce
Incomplete Cholesky decomposition
rvm
Relevance Vector Machine
ipop
Quadratic Programming Solver