# Copyright 2006 by Sean Luke and George Mason University # Licensed under the Academic Free License version 3.0 # See the file "LICENSE" for more information parent.0 = ../../gp/koza/koza.params # Stolen from koza/params -- overwriting just # a little for readability # You need to create at least one function set, # called "f0", which your first tree will use. gp.fs.size = 1 gp.fs.0.name = f0 gp.fs.0.size = 10 gp.fs.0.func.0 = ec.app.regression.func.X gp.fs.0.func.0.nc = nc0 gp.fs.0.func.1 = ec.app.regression.func.Add gp.fs.0.func.1.nc = nc2 gp.fs.0.func.2 = ec.app.regression.func.Mul gp.fs.0.func.2.nc = nc2 gp.fs.0.func.3 = ec.app.regression.func.Sub gp.fs.0.func.3.nc = nc2 gp.fs.0.func.4 = ec.app.regression.func.Div gp.fs.0.func.4.nc = nc2 gp.fs.0.func.5 = ec.app.regression.func.Sin gp.fs.0.func.5.nc = nc1 gp.fs.0.func.6 = ec.app.regression.func.Cos gp.fs.0.func.6.nc = nc1 gp.fs.0.func.7 = ec.app.regression.func.Exp gp.fs.0.func.7.nc = nc1 gp.fs.0.func.8 = ec.app.regression.func.Log gp.fs.0.func.8.nc = nc1 # placed here at the bottom so noerc.params can skip it gp.fs.0.func.9 = ec.app.regression.func.RegERC gp.fs.0.func.9.nc = nc0 # # We specify our problem here # eval.problem = ec.app.regression.Regression eval.problem.data = ec.app.regression.RegressionData # The size of our training set, by default, is 20 eval.problem.size = 20