han_autoencoder: Anomaly detector using autoencoder

In harbinger: A Unified Time Series Event Detection Framework

Anomaly detector using autoencoder

Description

Anomaly detector using autoencoder

Usage

han_autoencoder(input_size, encode_size, encoderclass = autoenc_base_ed, ...)

Arguments

input_size	Establish the input size for the autoencoder anomaly detector. It is the size of the output also.
encode_size	The encode size for the autoencoder.
encoderclass	The class of daltoolbox encoder-decoder.
...	optional arguments for encoder-decoder class.

Value

han_autoencoder object histogram based method to detect anomalies in time series. Bins with smaller amount of observations are considered anomalies. Values below first bin or above last bin are also considered anomalies.>.

Examples

#See an example of using `autoenc_ed` at this
#https://github.com/cefet-rj-dal/harbinger/blob/master/anomalies/han_autoenc_ed

harbinger documentation built on June 8, 2025, 10:19 a.m.