I'm testing x-pack and the machine learning, and I'm trying to develop a test case to test its effectiveness and usefulness for my application.
The idea is that I'm tracking posts on a site and I'm watching a few metrics: age, number of comments, score (up+down votes). I want to identify posts that are going to "go viral" early on.
The idea seems very similar to the general case of looking for anomalies - most posts have a growth pattern within a certain range, I'm looking for things that are "anomalous" and exceed that range.
Are there examples like this or do you have any suggestions how I would approach it?