kernlab: Kernel-Based Machine
> library(kernlab)
Attaching package: 'kernlab'
The following object is masked from 'package:ggplot2':
alpha
バージョン: 0.9.25
関数名 | 概略 |
---|---|
as.kernelMatrix |
Assing kernelMatrix class to matrix objects |
couple |
Probabilities Coupling function |
csi |
Cholesky decomposition with Side Information |
csi-class |
Class "csi" |
dots |
Kernel Functions |
gausspr |
Gaussian processes for regression and classification |
gausspr-class |
Class "gausspr" |
inchol |
Incomplete Cholesky decomposition |
inchol-class |
Class "inchol" |
income |
Income Data |
inlearn |
Onlearn object initialization |
ipop |
Quadratic Programming Solver |
ipop-class |
Class "ipop" |
kcca Kernel |
Canonical Correlation Analysis |
kcca-class |
Class "kcca" |
kernel-class |
Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel" |
kernelMatrix |
Kernel Matrix functions |
kfa |
Kernel Feature Analysis |
kfa-class |
Class "kfa" |
kha |
Kernel Principal Components Analysis |
kha-class |
Class "kha" |
kkmeans |
Kernel k-means |
kmmd |
Kernel Maximum Mean Discrepancy. |
kmmd-class |
Class "kqr" |
kpca |
Kernel Principal Components Analysis |
kpca-class |
Class "kpca" |
kqr |
Kernel Quantile Regression. |
kqr-class |
Class "kqr" |
ksvm |
Support Vector Machines |
ksvm-class |
Class "ksvm" |
lssvm |
Least Squares Support Vector Machine |
lssvm-class |
Class "lssvm" |
musk |
Musk data set |
onlearn |
Kernel Online Learning algorithms |
onlearn-class |
Class "onlearn" |
plot.ksvm |
plot method for support vector object |
prc-class |
Class "prc" |
predict.gausspr |
predict method for Gaussian Processes object |
predict.kqr |
Predict method for kernel Quantile Regression object |
predict.ksvm |
predict method for support vector object |
promotergene |
E. coli promoter gene sequences (DNA) |
ranking |
Ranking |
ranking-class |
Class "ranking" |
reuters |
Reuters Text Data |
rvm |
Relevance Vector Machine |
rvm-class |
Class "rvm" |
sigest |
Hyperparameter estimation for the Gaussian Radial Basis kernel |
spam |
Spam E-mail Database |
specc |
Spectral Clustering |
specc-class |
Class "specc" |
spirals |
Spirals Dataset |
stringdot |
String Kernel Functions |
ticdata |
The Insurance Company Data |
vm-class |
Class "vm" |
ksvm
サポートベクターマシン
Arguments
- x
- data
- y
- scaled
- type
C-svc
nu-svc
C-bsvc
spoc-svc
kbb-svc
one-svc
eps-svr
nu-svr
eps-bsvr
- kernel
- kpar
- C
- nu
- epsilon
- prob.model
- class.weights
- cache
- tol
- shrinking
- cross
- fit
- ...
- subset
- na.action