source: branches/HeuristicLab.VariableInteractionNetworks/HeuristicLab.VariableInteractionNetworks/3.3/TargetVariation.cs @ 12198

using System;
using System.CodeDom;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Windows.Forms;
using HeuristicLab.Data;
using HeuristicLab.Optimization;
using HeuristicLab.Persistence;
using HeuristicLab.Persistence.Default.Xml;
using HeuristicLab.Problems.DataAnalysis;
using HeuristicLab.Problems.DataAnalysis.Symbolic;
using HeuristicLab.Problems.DataAnalysis.Symbolic.Regression;

namespace HeuristicLab.VariableInteractionNetworks {
    class TargetVariation
    {
        public static Experiment CreateVariableCombinations(IAlgorithm algorithm)
        {
            var experiment = new Experiment("Target Variation Experiment");

            if (algorithm == null)
                throw new InvalidOperationException("Null algorithm!");

            var problem = algorithm.Problem;
            var regressionProblem = problem as IRegressionProblem;
            if (regressionProblem == null)
                throw new Exception();

            var problemData = regressionProblem.ProblemData;
            var variables = problemData.InputVariables.ToList();

            for (int i = 0; i < variables.Count; i++)
            {
                var alg = (IAlgorithm)algorithm.Clone();            
                var rp = (IRegressionProblem) alg.Problem;
                var pd = rp.ProblemData;
               
                // check all input variables
                foreach(var v in pd.InputVariables)
                    pd.InputVariables.SetItemCheckedState(v, true);
              
                // set target to false
                pd.InputVariables.SetItemCheckedState(pd.InputVariables[i], false);

                pd.TargetVariable = pd.InputVariables[i].Value;
                alg.Name += "{Target variable=" + pd.TargetVariable + "}";

 
                var batchrun = new BatchRun("Batchrun" + i)
                {
                    Repetitions = 10,
                    Optimizer = alg
                };

                experiment.Optimizers.Add(batchrun); 
            }
            return experiment;
        }
    }
  }