gausspr-class {kernlab} | R Documentation

## Class "gausspr"

### Description

The Gaussian Processes object class

### Objects from the Class

Objects can be created by calls of the form `new("gausspr", ...)`. or by calling the `gausspr` function

### Slots

`tol`:

  Object of class `"numeric"` contains tolerance of termination criteria

`kernelf`:

  Object of class `"kfunction"` contains the kernel function used

`kpar`:

  Object of class `"list"` contains the kernel parameter used

`kcall`:

  Object of class `"list"` contains the used function call

`type`:

  Object of class `"character"` contains type of problem

`terms`:

  Object of class `"ANY"` contains the terms representation of the symbolic model used (when using a formula)

`xmatrix`:

  Object of class `"input"` containing the data matrix used

`ymatrix`:

  Object of class `"output"` containing the response matrix

`fitted`:

  Object of class `"output"` containing the fitted values

`lev`:

  Object of class `"vector"` containing the levels of the response (in case of classification)

`nclass`:

  Object of class `"numeric"` containing the number of classes (in case of classification)

`alpha`:

  Object of class `"listI"` containing the computes alpha values

`alphaindex`

  Object of class `"list"` containing the indexes for the alphas in various classes (in multi-class problems).

`sol`

  Object of class `"matrix"` containing the solution to the Gaussian Process formulation, it is used to compute the variance in regression problems.

`scaling`

  Object of class `"ANY"` containing the scaling coefficients of the data (when case `scaled = TRUE` is used).

`nvar`:

  Object of class `"numeric"` containing the computed variance

`error`:

  Object of class `"numeric"` containing the training error

`cross`:

  Object of class `"numeric"` containing the cross validation error

`n.action`:

  Object of class `"ANY"` containing the action performed in NA

### Methods

alpha

  `signature(object = "gausspr")`: returns the alpha vector

cross

  `signature(object = "gausspr")`: returns the cross validation error

error

  `signature(object = "gausspr")`: returns the training error

fitted

  `signature(object = "vm")`: returns the fitted values

kcall

  `signature(object = "gausspr")`: returns the call performed

kernelf

  `signature(object = "gausspr")`: returns the kernel function used

kpar

  `signature(object = "gausspr")`: returns the kernel parameter used

lev

  `signature(object = "gausspr")`: returns the response levels (in classification)

type

  `signature(object = "gausspr")`: returns the type of problem

xmatrix

  `signature(object = "gausspr")`: returns the data matrix used

ymatrix

  `signature(object = "gausspr")`: returns the response matrix used

scaling

  `signature(object = "gausspr")`: returns the scaling coefficients of the data (when `scaled = TRUE` is used)

### Author(s)

Alexandros Karatzoglou
alexandros.karatzoglou@ci.tuwien.ac.at

### See Also

`gausspr`, `ksvm-class`, `vm-class`

### Examples

    # train model
    data(iris)
    test <- gausspr(Species~.,data=iris,var=2)
    test
    alpha(test)
    error(test)
    lev(test)

[Package kernlab version 0.9-27 Index]