prep

Runs my standart preparation on an Input which it defines itself and also returns this Input

Arguments

• g: A grap Class containing an Adjacency Matrix and a Feature vector, as well as a state Class containing the current standart Values for gs(=Graph Size, Number of Nodes in the Graph) and param (=Parameter Count, Number of Features for each Node)
• m: The Constants defining the Function Behaviours (matching Parameters below)

Constants defined in m

• prenorm=False: Should each Feature be normalised (using norm with scale=False) after preperation