har_ensemble_fuzzy: Harbinger Fuzzy Ensemble

In harbinger: A Unified Time Series Event Detection Framework

Harbinger Fuzzy Ensemble

Description

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_amoc(), hcp_pelt(), hcp_cf_lr())
model <- fit(model, dataset$serie)
detection <- detect(model, dataset$serie, time_tolerance = 8, use_nms = TRUE)
print(detection[detection$event, ])

harbinger documentation built on May 8, 2026, 5:07 p.m.