vm-class: Class "vm"

Description

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

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

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

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