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source: branches/HeuristicLab.Problems.GeneticProgramming.BloodGlucosePrediction/PredictedGlucoseVariableTreeNode.cs @ 18073

Last change on this file since 18073 was 13867, checked in by gkronber, 8 years ago

#2608 worked on glucose prediction problem

File size: 3.2 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2015 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 HeuristicLab.Common;
24using HeuristicLab.Core;
25using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
26using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
27using HeuristicLab.Random;
28namespace HeuristicLab.Problems.GeneticProgramming.GlucosePrediction {
29  [StorableClass]
30  public class PredictedGlucoseVariableTreeNode : SymbolicExpressionTreeTerminalNode {
31    public new PredictedGlucoseVariableSymbol Symbol {
32      get { return (PredictedGlucoseVariableSymbol)base.Symbol; }
33    }
34    [Storable]
35    private int rowOffset;
36    public int RowOffset {
37      get { return rowOffset; }
38      set { rowOffset = value; }
39    }
40
41    [Storable]
42    private double weight;
43    public double Weight {
44      get { return weight; }
45      set { weight = value; }
46    }
47
48    [StorableConstructor]
49    protected PredictedGlucoseVariableTreeNode(bool deserializing) : base(deserializing) { }
50    protected PredictedGlucoseVariableTreeNode(PredictedGlucoseVariableTreeNode original, Cloner cloner)
51      : base(original, cloner) {
52      rowOffset = original.rowOffset;
53      weight = original.weight;
54    }
55    protected PredictedGlucoseVariableTreeNode() { }
56    public PredictedGlucoseVariableTreeNode(PredictedGlucoseVariableSymbol variableSymbol) : base(variableSymbol) { }
57
58    public override bool HasLocalParameters {
59      get { return true; }
60    }
61
62    public override void ResetLocalParameters(IRandom random) {
63      base.ResetLocalParameters(random);
64      rowOffset = random.Next(Symbol.MinRowOffset, Symbol.MaxRowOffset + 1);
65      weight = NormalDistributedRandom.NextDouble(random, 0, 10);
66    }
67
68    public override void ShakeLocalParameters(IRandom random, double shakingFactor) {
69      base.ShakeLocalParameters(random, shakingFactor);
70
71      // increase or decrease offset by one
72      rowOffset += random.NextDouble() > 0.5 ? +1 : -1;
73      rowOffset = Math.Max(rowOffset, Symbol.MinRowOffset);
74      rowOffset = Math.Min(rowOffset, Symbol.MaxRowOffset);
75
76      weight += NormalDistributedRandom.NextDouble(random, 0, 1.0 * shakingFactor);
77    }
78
79    public override IDeepCloneable Clone(Cloner cloner) {
80      return new PredictedGlucoseVariableTreeNode(this, cloner);
81    }
82
83    public override string ToString() {
84      return string.Format("{0:N2}*predGluc(k{1})", weight, rowOffset);
85    }
86  }
87}
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