kdwd-class: Class "kdwd"

In DWD: DWD implementation based on A IPM SOCP solver

Description

An S4 class containing the output (model) of the kdwd Distance Weighted Discrimination function

Objects from the Class

Objects can be created by calls of the form new("kdwd", ...) or by calls to the kdwd function.

Slots

type:

Object of class "character" containing the DWD type ("bdwd", "mdwd")

kcall:

Object of class "ANY" containing the kdwd function call

scaling:

Object of class "ANY" containing the scaling information performed on the data

terms:

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

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)

w:

Object of class "ANY" containing the resulting coefficients

b0:

Object of class "numeric" containing the resulting offset

index:

Object of class "list" containing the indexes of classifiers

obj:

Object of class vector containing the value of the objective function. When using one-against-one in multiclass classification this is a vector.

error:

Object of class "numeric" containing the training error

cross:

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

na.action:

Object of class "ANY" containing the action performed for NA

Author(s)

Hanwen Huang: [e-mail]; Perry Haaland: [e-mail]; Xiaosun Lu: [e-mail]; Yufeng Liu: [e-mail]; J. S. Marron: [e-mail]

See Also

kdwd

Examples

## simple example using the promotergene data set
data(promotergene)

## train a support vector machine
gene <- kdwd(Class~.,data=promotergene,C=100,cross=4)

# the fitted values
gene@fitted
# the cross validation error
gene@cross

DWD documentation built on May 2, 2019, 5 p.m.