vm-class function

Class "vm"

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

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

Author(s)

Alexandros Karatzoglou

alexandros.karatzolgou@ci.tuwien.ac.at

See Also

ksvm-class, rvm-class, gausspr-class