#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
 *
 * This file is part of HeuristicLab.
 *
 * HeuristicLab is free software: you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 *
 * HeuristicLab is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 *
 * You should have received a copy of the GNU General Public License
 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
 */
#endregion

using System;
using System.Collections.Generic;
using System.Linq;
using HeuristicLab.Analysis;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Encodings.RealVectorEncoding;
using HeuristicLab.Optimization;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.PluginInfrastructure;
using HeuristicLab.Problems.DataAnalysis;
using HeuristicLab.Problems.Instances;

namespace HeuristicLab.Algorithms.DataAnalysis {
  [Item("SVM Parameter Tuning Problem", "")]
  [StorableClass]
  [Creatable("Problems")]
  public sealed class SupportVectorParameterTuningProblem : SingleObjectiveHeuristicOptimizationProblem<ISingleObjectiveEvaluator, IRealVectorCreator>, IStorableContent {
    public string Filename { get; set; }


    [StorableConstructor]
    private SupportVectorParameterTuningProblem(bool deserializing) : base(deserializing) { }
    private SupportVectorParameterTuningProblem(SupportVectorParameterTuningProblem original, Cloner cloner)
      : base(original, cloner) {
      RegisterEventHandlers();
    }
    public SupportVectorParameterTuningProblem()
      : base(new SupportVectorParameterTuningEvaluator(), new UniformRandomRealVectorCreator()) {
      Parameters.Add(new ValueParameter<RegressionProblemData>("ProblemData", ""));
      Parameters.Add(new ValueParameter<IntValue>("Length", "", new IntValue(3)));
      var bounds = new DoubleMatrix(new double[,]
      {
        {-7,7},
        {-7,7},
        {-7,7}
      });
      Parameters.Add(new ValueParameter<DoubleMatrix>("Bounds", "", bounds));
      SolutionCreator.RealVectorParameter.ActualName = "Point";

      Parameters["Length"].Hidden = true;
      Parameters["Bounds"].Hidden = true;

      InitializeOperators();
      RegisterEventHandlers();
    }

    public override IDeepCloneable Clone(Cloner cloner) {
      return new SupportVectorParameterTuningProblem(this, cloner);
    }

    #region Events
    #endregion

    #region Helpers
    [StorableHook(HookType.AfterDeserialization)]
    private void AfterDeserialization() {
      RegisterEventHandlers();
    }

    private void RegisterEventHandlers() {
    }

    private void InitializeOperators() {
      Operators.AddRange(ApplicationManager.Manager.GetInstances<IRealVectorOperator>().Cast<IOperator>());
    }

    #endregion

  }
}