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source: trunk/sources/HeuristicLab.Problems.DataAnalysis/3.3/Symbolic/Symbols/ConstantTreeNode.cs @ 3373

Last change on this file since 3373 was 3373, checked in by gkronber, 15 years ago

Refactored HeuristicLab.Problems.DataAnalysis namespace. #938 (Data types and operators for regression problems)

File size: 2.1 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2010 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 HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
23using System;
24using System.Collections.Generic;
25using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
26using HeuristicLab.Core;
27using HeuristicLab.Data;
28using HeuristicLab.Random;
29namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Symbols {
30  [StorableClass]
31  public sealed class ConstantTreeNode : SymbolicExpressionTreeTerminalNode {
32    public new Constant Symbol {
33      get { return (Constant)base.Symbol; }
34    }
35    public override bool HasLocalParameters {
36      get {
37        return true;
38      }
39    }
40
41    private double constantValue;
42    [Storable]
43    public double Value {
44      get { return constantValue; }
45      set { constantValue = value; }
46    }
47    // copy constructor
48    private ConstantTreeNode(ConstantTreeNode original)
49      : base(original) {
50      constantValue = original.constantValue;
51    }
52
53    public ConstantTreeNode(Constant constantSymbol) : base(constantSymbol) { }
54
55    public override void ResetLocalParameters(IRandom random) {
56      base.ResetLocalParameters(random);
57      var range = Symbol.MaxValue - Symbol.MaxValue;
58      Value = random.NextDouble() * range - Symbol.MinValue;
59    }
60
61    public override object Clone() {
62      return new ConstantTreeNode(this);
63    }
64  }
65}
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