Here, we experiment with several different outlier detection techniques. Quantile-based: Box plot Distribution-based: Z-score Cluster-based: DBSCAN Neural autoencoder Isolation forest Of the 492 ...

Anomaly detection is sometimes called outlier detection. There are several techniques ... The demo creates and trains a LightGBM autoencoder model. An autoencoder predicts its input. The first three ...

The demo program presented in this article uses image data, but the autoencoder anomaly detection technique can work with any type of data. The demo begins by creating a Dataset object that stores the ...