% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/har_ensemble_fuzzy.R
\name{detect.har_ensemble_fuzzy}
\alias{detect.har_ensemble_fuzzy}
\title{Detect events using Harbinger Fuzzy Ensemble}
\usage{
\method{detect}{har_ensemble_fuzzy}(
  obj,
  serie,
  threshold = NULL,
  threshold_type = NULL,
  time_tolerance = NULL,
  use_nms = NULL,
  outliers_check = NULL,
  outlier_filter = NULL,
  ...
)
}
\arguments{
\item{obj}{A \code{har_ensemble_fuzzy} object.}

\item{serie}{Input time series.}

\item{threshold}{Numeric detection threshold.}

\item{threshold_type}{Either \code{"fixed"} or \code{"percentile"}.}

\item{time_tolerance}{Integer window for temporal fuzzification and NMS.}

\item{use_nms}{Logical; whether to apply non-maximum suppression.}

\item{outliers_check}{Optional refinement function.}

\item{outlier_filter}{Optional post-filter over the ensemble score. It may
return a logical mask or integer positions.}

\item{...}{Additional arguments.}
}
\value{
A detection object with score and per-model events as attributes.
}
\description{
Detect events using Harbinger Fuzzy Ensemble
}
