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kernlab (version 0.9-24)

vm-class: Class "vm"

Description

An S4 VIRTUAL class used as a base for the various vector machine classes in kernlab

Arguments

Objects from the Class

Objects from the class cannot be created directly but only contained in other classes.

Slots

alpha:
Object of class "listI" containing the resulting alpha vector (list in case of multiclass classification) (support vectors)
type:
Object of class "character" containing the vector machine type e.g., ("C-svc", "nu-svc", "C-bsvc", "spoc-svc", "one-svc", "eps-svr", "nu-svr", "eps-bsvr")
kernelf:
Object of class "function" containing the kernel function
kpar:
Object of class "list" containing the kernel function parameters (hyperparameters)
kcall:
Object of class "call" containing the function call
terms:
Object of class "ANY" containing the terms representation of the symbolic model used (when using a formula)
xmatrix:
Object of class "input" the data matrix used during computations (support vectors) (possibly scaled and without NA)
ymatrix:
Object of class "output" the response matrix/vector
fitted:
Object of class "output" with the fitted values, predictions using the training set.
lev:
Object of class "vector" with the levels of the response (in the case of classification)
nclass:
Object of class "numeric" containing the number of classes (in the case of classification)
error:
Object of class "vector" containing the training error
cross:
Object of class "vector" containing the cross-validation error
n.action:
Object of class "ANY" containing the action performed for NA

Methods

alpha
signature(object = "vm"): returns the complete alpha vector (wit zero values)
cross
signature(object = "vm"): returns the cross-validation error
error
signature(object = "vm"): returns the training error
fitted
signature(object = "vm"): returns the fitted values (predict on training set)
kernelf
signature(object = "vm"): returns the kernel function
kpar
signature(object = "vm"): returns the kernel parameters (hyperparameters)
lev
signature(object = "vm"): returns the levels in case of classification
kcall
signature(object="vm"): returns the function call
type
signature(object = "vm"): returns the problem type
xmatrix
signature(object = "vm"): returns the data matrix used(support vectors)
ymatrix
signature(object = "vm"): returns the response vector

See Also

ksvm-class, rvm-class, gausspr-class