Building a feature library for machine learning at iZettle

When we started building features for our first machine learning models at iZettle, we quickly realized we didn't want to reinvent the wheel for every model we built. Instead, we created a shared feature building framework, which over time has evolved into a core part of our machine learning infrastructure. In this talk, I will explain why you might want to create a feature library, suggest some important trade-offs to consider and share how we first built the simplest solution possible and then iterated from there.