The goal is to write an sklearn interface that works with all possible kernels and representations from the QML-Code (available at https://github.com/qmlcode)
This makes it easier to use a lot of skleans' functions, so you avoid for example having to write your own cross-validation and hyperparameter optimization. sklearn will do that