plotMachines,HybridSequenceClassifier-method: Sequence Detector Method: plot machines (ETTs)

In SeqDetect: Sequence and Latent Process Detector

Description

Sequence Detector method for plotting of machines in the Sequence Detector object. Plotting is following the output symbols of the states and transitions. For machines that don't have a small output alphabet could not be plotted fully and correctly.

Usage

## S4 method for signature 'HybridSequenceClassifier'
plotMachines(machine_id=NULL)

Arguments

machine_id

(character) - A machine identifier that needs to be plotted. If NULL, all machines are plotted.

See Also

HybridSequenceClassifier

Examples

ldf1 <- data.frame(product=c("P1","P1","P1","P1"),sequence_id=c(1,3,5,7),
                   sales=c(5,76,123,1),alert=c(NA,NA,NA,"Alert P1"))
ldf2 <- data.frame(product=c("P2","P2","P2","P2"),sequence_id=c(2,4,6,8),
                   sales=c(21,76,123,42),alert=c(NA,NA,NA,"Alert P2"))
input_streams <- list(stream1=ldf1,stream2=ldf2)
pp <- HSC_PP(c("product","sales","alert","sequence_id"),"sequence_id")
pc <- HSC_PC_Attribute("sales")
hsc <- HybridSequenceClassifier(c("sequence_id","product","sales","alert"),
                                         "sequence_id","sequence_id",context_field="product",
                                         preclassifier=pc,preprocessor=pp,reuse_states=TRUE,
                                         pattern_field="alert")
hsc$process(input_streams,learn=TRUE)
hsc$cleanKeys()
hsc$mergeMachines()
hsc$plotMachines()

SeqDetect documentation built on March 2, 2020, 5:08 p.m.