{
"tag"       : "nonlinear2dvolBPmo3",
"brief"     : "Non-linear data with overlapping distributions.",
"task"      : "classification",
"algorithm" : "MLP_learn",

"comment" : "Real three-objective multiobjective optimization for two
	    classwise errors and overall MSE. Used for interface
	    testing, likely not to be included in the thesis
	    experiments. Unless.. actually this could illustrate the
	    problems of MSE compared to classwise error measures?
	    (TODO: is that so?)",

"_TODO" : "Implement logging/tracing.",

"MLP_learn":
{
  "datafile"  : "2dvOverlap.data",
  "task"      : "classification",
  "evolution" : {
    "evol_obj"  : "mse;cwerr",
    "pop_size"  : 20,
    "max_iter"  : 200,
    "evol_oper" : "ns"
  },
  "init" : {
    "init_arch"    : "2-2-2",
    "init_weights" : "uniform(-1,1)"
  },
  "improvement" : {
    "imp_obj"   : "mse(direction=rerandomclass)",
    "imp_oper"  : "backprop",
    "imp_steps" : 100,
    "imp_inilen": 0.3
  }
}
}