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Harbinger Fuzzy Ensemble

Source: R/har_ensemble_fuzzy.R
har_ensemble_fuzzy.Rd

Score-based ensemble across multiple Harbinger detectors with optional temporal fuzzification, thresholding, and non-maximum suppression.

This variant preserves the richer aggregation logic that was previously mixed into har_ensemble(), but keeps the simple majority-vote ensemble separate.

Usage

har_ensemble_fuzzy(...)

Arguments

...

One or more detector objects.

Value

A har_ensemble_fuzzy object.

References

  • Ogasawara, E., Salles, R., Porto, F., Pacitti, E. Event Detection in Time Series. 1st ed. Cham: Springer Nature Switzerland, 2025. doi:10.1007/978-3-031-75941-3

Examples

library(daltoolbox)

data(examples_changepoints)
dataset <- examples_changepoints$simple

model <- har_ensemble_fuzzy(
  hcp_scp(sw = 30),
  hcp_chow(),
  hcp_cf_arima(sw_size = 10)
)
model <- fit(model, dataset$serie)
detection <- detect(model, dataset$serie, time_tolerance = 8, use_nms = TRUE)
print(detection[detection$event, ])
#>    idx event type
#> 50  50  TRUE