Description Usage Arguments Value Examples
An experimental implementataion that automatically builds an anomaly detection model
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data |
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func |
function name of the method that will be use during the automatic build |
initial_support |
initial maximum support |
top_outlier_threshold |
number of top unique outliers as a stopping condition |
iteration_timeout |
timeout of one iteration |
model of outlier detection
1 2 3 4 5 6 7 8 9 10 | # simple build with default parameters (FPI method)
library("fpmoutliers")
data("iris")
model <- fpmoutliers::build(iris[sample(nrow(iris), 5),])
# using other anomaly detection methods for the automatic build (e.g. LFPOF)
library("fpmoutliers")
data("iris")
model <- fpmoutliers::build(iris[sample(nrow(iris), 5),], func=LFPOF)
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