Within the ML job configuration, there is the ability to define fields as Influencers (also sometimes called Key Fields in the user interface). The concept of an influencer is a field that describes an entity that you'd like to know is to blame for the existence of the anomaly, or at least had a significant contribution. Note that any field chosen as a candidate to be an influencer doesn't need to be part of the detection logic, although it is natural to pick fields that are used as splits to also be influencers. To see how influencers work, let's discuss an example.
Imagine we have data that describes financial transactions at merchants for a family's monthly credit card bill. The data includes the following fields: ...
