harbinger (version 1.2.727)

han_autoencoder: Anomaly detector using autoencoder

Description

Anomaly detector using autoencoder

Usage

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

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.>.

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.

Examples

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