fpmoutliers (version 0.1.0)

generatePMML: PMML conversion - PMML representation of outliers

Description

Kuchar, Jaroslav et al. <U+201C>Outlier (Anomaly) Detection Modelling in PMML.<U+201D> RuleML+RR (2017).(http://ceur-ws.org/Vol-1875/paper9.pdf)

Usage

generatePMML(model, dataFrame = NULL, topN = NULL)

Arguments

model

outlier model

dataFrame

frame for labeling

topN

limit number of outliers in the output

Value

pmml model

Examples

# NOT RUN {
library("fpmoutliers")
dataFrame <- read.csv(
     system.file("extdata", "fp-outlier-customer-data.csv", package = "fpmoutliers"))
model <- FPI(dataFrame, minSupport = 0.001)
generatePMML(model, dataFrame)
# }