Evaluation servers (WebSocket)
In ./evaluation/supervised/ are evaluation implemtations based on supervised learning models. ./evaluation/unsupervised/ includes evaluation approaches based on unsupervised learning methods, such as feature extraction (which can in fact be based on supervised models) and dimensionality reduction. ./evaluation/semi-supervised/ might contain semi-supervised approaches for discovering measurement (/ behaviour) spaces, such as QDHF, ADAIF or AURORA.
./measurements/diversity/ contains modules with different implementations of diversity measurements (like dimensionality reduction) and ./measurements/quality/ contains modules implementing various fitness / objective measures.
