Crossvalidation needs to be generalised

[sfluegel05]

Status Quo

• Inner cross-validation (i.e., between train and validation set) is possible via creating each of k iterations as files and then doing k runs manually

Goal

• Automate inner cross-validation by combining all k iterations into a single run without creating k different data sets and starting k runs manually

Ideas

• previous, scrapped implementation
• pytorch fabric