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