The design pattern presented here will work for most autoencoder anomaly detection scenarios. If your raw data contains a categorical variable, such as "color" with possible values "red", "blue" or ...

The autoencoder Train() method is called ... To encode categorical data, it's best to use what's called one-hot encoding. For the State predictor variable with 3 possible values, the encoding is ...