dataForSummaryFunction: dataForSummaryFunction

In benmack/oneClass: One-class classification in the absence of test data

Description

Creates a data frame from an object of class holdOutPredictions that can be passsed to the data argument of puSummary function.

Usage

dataForSummaryFunction(x, threshold = 0, newUn = NULL, ...)

Arguments

x	an object of class holdOutPredictions or trainOcc
threshold	threshold used to binarize the data
newUn	predictions of new unlabeled samples to be used to replace the unlabeled hold-out predictions of x
...	other in case x is trainOcc, arguments that can be passed to holdOutPredictions

Value

a data frame that can be passed to the data argument of puSummary function.

Examples

## Not run: 
data(bananas)
model <- trainOcc(x=bananas$tr[, -1], y=bananas$tr[, 1], method="ocsvm")
hop <- holdOutPredictions(model) # returns aggregated
d <- dataForSummaryFunction(hop)
hop <- holdOutPredictions(model, partition = 1)
d <- dataForSummaryFunction(hop)

## End(Not run)

benmack/oneClass documentation built on Dec. 15, 2020, 7:38 p.m.