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source: trunk/sources/HeuristicLab.GP/3.3/GeneticProgrammingModel.cs @ 2532

Last change on this file since 2532 was 2328, checked in by gkronber, 15 years ago

this is the remaining part of changeset r2327.
Applied changes in modeling plugins that are necessary for the new model analyzer (#722)

  • predictor has properties for the lower and upper limit of the predicted value
  • added views for predictors that show the limits (also added a new view for GeneticProgrammingModel that shows the size and height of the model)
  • Reintroduced TreeEvaluatorInjectors that read a PunishmentFactor and calculate the lower and upper limits for estimated values (limits are set in the tree evaluators)
  • Added operators to create Predictors. Changed modeling algorithms to use the predictors for the calculation of final model qualities and variable impacts (to be compatible with the new model analyzer the predictors use a very large PunishmentFactor)
  • replaced all private implementations of double.IsAlmost and use HL.Commons instead (see #733 r2324)
  • Implemented operator SolutionExtractor and moved BestSolutionStorer from HL.Logging to HL.Modeling (fixes #734)
File size: 3.8 KB
RevLine 
[2210]1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2008 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using System;
23using System.Collections.Generic;
24using System.Text;
25using HeuristicLab.Core;
26using HeuristicLab.GP.Interfaces;
[2216]27using System.Xml;
[2210]28
29namespace HeuristicLab.GP {
30  public class GeneticProgrammingModel : ItemBase, IGeneticProgrammingModel {
31    private IFunctionTree functionTree;
32    public IFunctionTree FunctionTree {
33      get {
34        return functionTree;
35      }
36      set {
37        functionTree = value;
38        Size = functionTree.GetSize();
39        Height = functionTree.GetHeight();
40      }
41    }
42    public int Size { get; set; }
43    public int Height { get; set; }
44
45    public GeneticProgrammingModel()
46      : base() {
47    }
48
[2235]49    public GeneticProgrammingModel(IFunctionTree tree)
50      : base() {
[2210]51      FunctionTree = tree;
52    }
53
54    public override object Clone(IDictionary<Guid, object> clonedObjects) {
55      GeneticProgrammingModel clone = (GeneticProgrammingModel)base.Clone(clonedObjects);
[2218]56      clone.FunctionTree = (IFunctionTree)FunctionTree.Clone();
[2210]57      return clone;
58    }
59
[2216]60    public override XmlNode GetXmlNode(string name, XmlDocument document, IDictionary<Guid, IStorable> persistedObjects) {
61      XmlNode node = base.GetXmlNode(name, document, persistedObjects);
[2219]62      PersistTree(node, document, persistedObjects, FunctionTree);
[2216]63      return node;
[2210]64    }
65
[2219]66    private void PersistTree(XmlNode node, XmlDocument document, IDictionary<Guid, IStorable> persistedObjects, IFunctionTree tree) {
67      XmlNode fNode = PersistenceManager.Persist(tree.Function, document, persistedObjects);
68      XmlAttribute subTreesAttr = document.CreateAttribute("Args");
69      subTreesAttr.Value = XmlConvert.ToString(tree.SubTrees.Count);
70      fNode.Attributes.Append(subTreesAttr);
71      node.AppendChild(fNode);
72      XmlNode treeNode = tree.GetXmlNode("Data", document, persistedObjects);
73      if (treeNode != null) fNode.AppendChild(treeNode);
74      foreach (IFunctionTree subTree in tree.SubTrees) {
75        PersistTree(node, document, persistedObjects, subTree);
76      }
77    }
78
[2216]79    public override void Populate(XmlNode node, IDictionary<Guid, IStorable> restoredObjects) {
80      base.Populate(node, restoredObjects);
[2219]81      int nodeIndex = 0;
82      FunctionTree = RestoreTree(node, ref nodeIndex, restoredObjects);
[2210]83    }
84
[2219]85    private IFunctionTree RestoreTree(XmlNode node, ref int nodeIndex, IDictionary<Guid, IStorable> restoredObjects) {
86      XmlNode fNode = node.ChildNodes[nodeIndex];
87      int subTrees = XmlConvert.ToInt32(fNode.Attributes["Args"].Value);
88      IFunction f = (IFunction)PersistenceManager.Restore(fNode, restoredObjects);
89      IFunctionTree tree = f.GetTreeNode();
[2235]90      if (fNode.ChildNodes.Count > 0) tree.Populate(fNode.ChildNodes[0], restoredObjects);
[2219]91      nodeIndex++;
92      for (int i = 0; i < subTrees; i++) {
93        tree.AddSubTree(RestoreTree(node, ref nodeIndex, restoredObjects));
94      }
95      return tree;
96    }
97
[2210]98    public override IView CreateView() {
[2328]99      return new GeneticProgrammingModelView(this);
[2210]100    }
101  }
102}
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