han_autoencoder {harbinger} | R Documentation |
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
[Package harbinger version 1.2.707 Index]