as.subcascades: Coerce to a Subcascades Object

Description

Converts from a Groupwise object to a Subcascades object.

Usage

as.subcascades(groupwise = NULL)

Arguments

groupwise

A Groupwise object, which comprises a two-leveled list. The first level collects cascades of the same size. The second level contains a list of unique class combinations, labelled as a character string with '-' separating the different classes. For each unique set of class combinations the corresponding orders and their performance are given as a matrix, where each row contains a cascade, given as a character string of type '1>2>3', and the columns the sensitivity for the class at the corresponding position. Each matrix is sorted row-wise according to the achieved minimal classwise sensitivites of the cascades (decreasing).

Value

A Subcascades object comprising the evaluated cascades and their performances. The Subcascades object is made up of a list of matrices. Each matrix comprises the evaluation results of cascades of a specific length and is sorted row-wise according to the achieved minimal classwise sensitivities of the cascades (decreasing). The rownames show the class order by a character string of type '1>2>3' and the entries the sensitivity for each position of the cascade.

Details

Converts a Groupwise object to a Subcascades object.

Examples

Run this code

# NOT RUN {
library(TunePareto)
data(esl)
data = esl$data
labels = esl$labels
foldList = generateCVRuns(labels  = labels,
                          ntimes      = 2,
                          nfold       = 2,
                          leaveOneOut = FALSE,
                          stratified  = TRUE)
predMap = predictionMap(data, labels, foldList = foldList, 
                       classifier = tunePareto.svm(), kernel='linear')

# generate a Groupwise object
subc = subcascades(predMap,thresh=0.7)
groupwise = groupwise(subc)

#convert it to a Subcascades object
converted.subcascades = as.subcascades(groupwise)
# }