Description Usage Arguments Details Value See Also Examples
Converts from a Groupwise object to a Subcascades object.
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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). |
Converts a Groupwise object to a Subcascades object.
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.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | 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)
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