Data-driven FEP Network Generation
Dev environment for creation of a workflow that uses ML models to predict SEM on fully-connected FEP networks, then uses DiffNet to create a statistically optimal set of edges to simulate. Currently builds on DiffNet 63da350.
Authors:
- J. Scheen
- J. Michel