Open with gitpod by clicking the button above.
Then run dotnet run in the terminal to see the output.
You can play around with the code inside gitpod and see the output each time with dotnet run.
This is an initial play around with using ML.NET to create a fluent interface for detecting anomalies in data.
At present it uses statically typed objects to run but ideally (if I get time to add to this) you would also be able to pass in dynamically read-in data from CSVs/SQL etc. as well.