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