To make the tutorial easier to follow, we will leverage a dummy dataset that represents a creditworthiness model for loans. This dataset has “train”, “test” and “inference” data, along with "feedback" data (or “ground truth”) to indicate whether the loans were in fact paid back.
Monitoring your AI system is a good idea and can easily be achieved with Mona even if you don’t have ground-truth data for your inference runs.
Click on the "code" tab and then click on the copy link button.
- In your terminal under your chosen directory type: "git clone [copied URL]"
In the next chapter we’ll do some initial exploration of the dataset.
Updated about 1 month ago