induceSubmachine,HybridSequenceClassifier-method {SeqDetect}

Sequence Detector Method: ETT projection

Description

Sequence Detector method for ETT projections. See the SeqDetect vignette for proper usage and cases. All projection changes are performed on the same Sequence Detector object.

Usage

## S4 method for signature 'HybridSequenceClassifier'
induceSubmachine(threshold,isolate=FALSE)

Arguments

threshold

(integer) - A threshold for the ETT projection. All transitions that have invocation statistic above the threshold are moved to a submachine.

isolate

(logical) - After the regular sequences are moved the the submachine, the original parent can be removed, leaving only the most regular sequences. If TRUE, the parent ETT is removed and only the most regular sequences are left.

Value

Returns:
TRUE - projection was performed successfully
FALSE - no projection was performed.

See Also

HybridSequenceClassifier

Examples

st <- data.frame(product=c("P1","P2"),sales=c(5,76),alert=c(NA,NA))
for(i in 1:400) {
  st <- rbind(st,data.frame(product=c("P1","P2"),sales=c(10,58),alert=c(NA,NA)))
  st <- rbind(st,data.frame(product=c("P1","P2"),sales=c(20,31),alert=c(NA,NA)))
}
st <- rbind(st,data.frame(product=c("P1","P2"),sales=c(30,11),
                          alert=c("Sequence 1","Sequence 2")))
input_streams <- list(stream=st)
pp <- HSC_PP(c("product","sales","alert"),"sequence_id",auto_id=TRUE)
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$induceSubmachine(200,isolate=TRUE)
hsc$printMachines()