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Ignore:
Timestamp:
12/06/10 10:28:34 (14 years ago)
Author:
mkommend
Message:

Added branched projects for new GP symbols (ticket #1256).

Location:
branches/GP.Symbols (TimeLag, Diff, Integral)
Files:
10 added
9 edited
7 copied

Legend:

Unmodified
Added
Removed
  • branches/GP.Symbols (TimeLag, Diff, Integral)

    • Property svn:ignore set to
      GP.Symbols.suo
  • branches/GP.Symbols (TimeLag, Diff, Integral)/HeuristicLab.Encodings.SymbolicExpressionTreeEncoding/3.3/HeuristicLab.Encodings.SymbolicExpressionTreeEncoding-3.3.csproj

    r4249 r5026  
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  • branches/GP.Symbols (TimeLag, Diff, Integral)/HeuristicLab.Problems.DataAnalysis.Regression/3.3/HeuristicLab.Problems.DataAnalysis.Regression-3.3.csproj

    r4980 r5026  
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  • branches/GP.Symbols (TimeLag, Diff, Integral)/HeuristicLab.Problems.DataAnalysis.Regression/3.3/Symbolic/SymbolicRegressionSolution.cs

    r4797 r5026  
    2626using HeuristicLab.Common;
    2727using HeuristicLab.Core;
     28using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
    2829using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
    2930using HeuristicLab.Problems.DataAnalysis.Symbolic.Symbols;
     
    7677
    7778    protected override void RecalculateEstimatedValues() {
    78       int minLag = 0;
    79       var laggedTreeNodes = Model.SymbolicExpressionTree.IterateNodesPrefix().OfType<LaggedVariableTreeNode>();
    80       if (laggedTreeNodes.Any())
    81         minLag = laggedTreeNodes.Min(node => node.Lag);
     79      int minLag = GetMinimumLagFromTree(Model.SymbolicExpressionTree.Root);
    8280      IEnumerable<double> calculatedValues =
    8381          from x in Model.GetEstimatedValues(ProblemData, 0 - minLag, ProblemData.Dataset.Rows)
     
    9391        yield return estimatedValues[row];
    9492    }
     93
     94    protected int GetMinimumLagFromTree(SymbolicExpressionTreeNode node) {
     95      if (node == null) return 0;
     96      int lag = 0;
     97
     98      var laggedTreeNode = node as ILaggedTreeNode;
     99      if (laggedTreeNode != null) lag += laggedTreeNode.Lag;
     100
     101      int subtreeLag = 0;
     102      foreach (var subtree in node.SubTrees) {
     103        subtreeLag = Math.Min(subtreeLag, GetMinimumLagFromTree(subtree));
     104      }
     105      return lag + subtreeLag;
     106    }
    95107  }
    96108}
  • branches/GP.Symbols (TimeLag, Diff, Integral)/HeuristicLab.Problems.DataAnalysis.Views/3.3/HeuristicLab.Problems.DataAnalysis.Views-3.3.csproj

    r4988 r5026  
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  • branches/GP.Symbols (TimeLag, Diff, Integral)/HeuristicLab.Problems.DataAnalysis.Views/3.3/Symbolic/Symbols/TimeLagView.Designer.cs

    r5005 r5026  
    2121
    2222namespace HeuristicLab.Problems.DataAnalysis.Views.Symbolic.Symbols {
    23   partial class LaggedVariableView {
     23  partial class TimeLagView {
    2424    /// <summary>
    2525    /// Required designer variable.
     
    5151      ((System.ComponentModel.ISupportInitialize)(this.errorProvider)).BeginInit();
    5252      this.SuspendLayout();
    53       //
    54       // initializationGroupBox
    55       //
    56       this.initializationGroupBox.Location = new System.Drawing.Point(3, 131);
    57       this.initializationGroupBox.Size = new System.Drawing.Size(399, 73);
    58       //
    59       // mutationGroupBox
    60       //
    61       this.mutationGroupBox.Location = new System.Drawing.Point(6, 210);
    62       this.mutationGroupBox.Size = new System.Drawing.Size(396, 73);
    6353      //
    6454      // initialFrequencyLabel
     
    117107      this.maxTimeOffsetTextBox.TextChanged += new System.EventHandler(this.maxTimeOffsetTextBox_TextChanged);
    118108      //
    119       // LaggedVariableView
     109      // TimeLagView
    120110      //
    121111      this.AutoScaleDimensions = new System.Drawing.SizeF(6F, 13F);
     
    125115      this.Controls.Add(this.maxTimeOffsetLabel);
    126116      this.Controls.Add(this.minTimeOffsetLabel);
    127       this.Name = "LaggedVariableView";
    128       this.Size = new System.Drawing.Size(408, 292);
    129       this.Controls.SetChildIndex(this.initializationGroupBox, 0);
     117      this.Name = "TimeLagView";
     118      this.Size = new System.Drawing.Size(408, 141);
    130119      this.Controls.SetChildIndex(this.initialFrequencyTextBox, 0);
    131120      this.Controls.SetChildIndex(this.initialFrequencyLabel, 0);
     
    134123      this.Controls.SetChildIndex(this.nameTextBox, 0);
    135124      this.Controls.SetChildIndex(this.descriptionTextBox, 0);
    136       this.Controls.SetChildIndex(this.mutationGroupBox, 0);
    137125      this.Controls.SetChildIndex(this.minTimeOffsetLabel, 0);
    138126      this.Controls.SetChildIndex(this.maxTimeOffsetLabel, 0);
  • branches/GP.Symbols (TimeLag, Diff, Integral)/HeuristicLab.Problems.DataAnalysis.Views/3.3/Symbolic/Symbols/TimeLagView.cs

    r5005 r5026  
    2525using HeuristicLab.MainForm.WindowsForms;
    2626using HeuristicLab.Problems.DataAnalysis.Symbolic.Symbols;
     27using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.Views;
    2728
    2829namespace HeuristicLab.Problems.DataAnalysis.Views.Symbolic.Symbols {
    29   [View("LaggedVariable View")]
    30   [Content(typeof(LaggedVariable), true)]
    31   public partial class LaggedVariableView : VariableView {
    32     public new LaggedVariable Content {
    33       get { return (LaggedVariable)base.Content; }
     30  [View("TimeLag View")]
     31  [Content(typeof(TimeLag), true)]
     32  public partial class TimeLagView : SymbolView {
     33    public new TimeLag Content {
     34      get { return (TimeLag)base.Content; }
    3435      set { base.Content = value; }
    3536    }
    3637
    37     public LaggedVariableView() {
     38    public TimeLagView() {
    3839      InitializeComponent();
    3940    }
  • branches/GP.Symbols (TimeLag, Diff, Integral)/HeuristicLab.Problems.DataAnalysis/3.3/HeuristicLab.Problems.DataAnalysis-3.3.csproj

    r5013 r5026  
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     140    </Reference>
    93141    <Reference Include="System" />
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    129177    <Compile Include="Evaluators\SimpleVarianceAccountedForEvaluator.cs" />
    130178    <Compile Include="HeuristicLabProblemsDataAnalysisPlugin.cs" />
     179    <Compile Include="Interfaces\ILaggedTreeNode.cs" />
    131180    <Compile Include="Interfaces\ISingleObjectiveDataAnalysisProblem.cs" />
    132181    <Compile Include="Interfaces\IDataAnalysisModel.cs" />
     
    147196    <Compile Include="Symbolic\SymbolicSimplifier.cs" />
    148197    <Compile Include="Symbolic\Symbols\Addition.cs" />
     198    <Compile Include="Symbolic\Symbols\LaggedSymbol.cs" />
    149199    <Compile Include="Symbolic\Symbols\Constant.cs" />
    150200    <Compile Include="Symbolic\Symbols\ConstantTreeNode.cs" />
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    151202    <Compile Include="Symbolic\Symbols\LaggedVariable.cs" />
    152203    <Compile Include="Symbolic\Symbols\LaggedVariableTreeNode.cs" />
     
    166217    <Compile Include="Symbolic\Symbols\Multiplication.cs" />
    167218    <Compile Include="Symbolic\Symbols\Subtraction.cs" />
     219    <Compile Include="Symbolic\Symbols\TimeLag.cs" />
    168220    <Compile Include="Symbolic\Symbols\Variable.cs" />
    169221    <Compile Include="Symbolic\Symbols\VariableTreeNode.cs" />
     
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  • branches/GP.Symbols (TimeLag, Diff, Integral)/HeuristicLab.Problems.DataAnalysis/3.3/Symbolic/FullFunctionalExpressionGrammar.cs

    r4722 r5026  
    6060      var or = new Or();
    6161      var not = new Not();
     62      var timeLag = new TimeLag();
     63      timeLag.InitialFrequency = 0.0;
    6264      var constant = new Constant();
    6365      constant.MinValue = -20;
     
    6769      laggedVariable.InitialFrequency = 0.0;
    6870
    69       var allSymbols = new List<Symbol>() { add, sub, mul, div, mean, sin, cos, tan, log, exp, @if, gt, lt, and, or, not, constant, variableSymbol, laggedVariable };
    70       var unaryFunctionSymbols = new List<Symbol>() { sin, cos, tan, log, exp, not };
     71      var allSymbols = new List<Symbol>() { add, sub, mul, div, mean, sin, cos, tan, log, exp, @if, gt, lt, and, or, not, timeLag, constant, variableSymbol, laggedVariable };
     72      var unaryFunctionSymbols = new List<Symbol>() { sin, cos, tan, log, exp, not, timeLag };
    7173      var binaryFunctionSymbols = new List<Symbol>() { gt, lt };
    7274      var functionSymbols = new List<Symbol>() { add, sub, mul, div, mean, and, or };
  • branches/GP.Symbols (TimeLag, Diff, Integral)/HeuristicLab.Problems.DataAnalysis/3.3/Symbolic/SimpleArithmeticExpressionInterpreter.cs

    r4722 r5026  
    6666      public const byte Constant = 20;
    6767      public const byte Arg = 21;
     68
     69      public const byte TimeLag = 22;
    6870    }
    6971
     
    9092      { typeof(Constant), OpCodes.Constant },
    9193      { typeof(Argument), OpCodes.Arg },
     94      { typeof(TimeLag), OpCodes.TimeLag},
    9295    };
    9396    private const int ARGUMENT_STACK_SIZE = 1024;
     
    290293            return constTreeNode.Value;
    291294          }
     295        case OpCodes.TimeLag: {
     296            var timeLagTreeNode = (LaggedTreeNode)currentInstr.dynamicNode;
     297            row += timeLagTreeNode.Lag;
     298            if (row < 0 || row >= dataset.Rows) {
     299              row -= timeLagTreeNode.Lag;
     300              return double.NaN;
     301            }
     302            double result = Evaluate();
     303            row -= timeLagTreeNode.Lag;
     304            return result;
     305          }
    292306        default: throw new NotSupportedException();
    293307      }
  • branches/GP.Symbols (TimeLag, Diff, Integral)/HeuristicLab.Problems.DataAnalysis/3.3/Symbolic/Symbols/LaggedTreeNode.cs

    r5005 r5026  
    2020#endregion
    2121
     22using System;
    2223using HeuristicLab.Common;
    2324using HeuristicLab.Core;
    2425using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
    2526using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
    26 using HeuristicLab.Random;
    2727namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Symbols {
    2828  [StorableClass]
    29   public class VariableTreeNode : SymbolicExpressionTreeTerminalNode {
    30     public new Variable Symbol {
    31       get { return (Variable)base.Symbol; }
     29  public class LaggedTreeNode : SymbolicExpressionTreeNode, ILaggedTreeNode {
     30    public new LaggedSymbol Symbol {
     31      get { return (LaggedSymbol)base.Symbol; }
    3232    }
    3333    [Storable]
    34     private double weight;
    35     public double Weight {
    36       get { return weight; }
    37       set { weight = value; }
    38     }
    39     [Storable]
    40     private string variableName;
    41     public string VariableName {
    42       get { return variableName; }
    43       set { variableName = value; }
     34    private int lag;
     35    public int Lag {
     36      get { return lag; }
     37      set { lag = value; }
    4438    }
    4539
    4640    [StorableConstructor]
    47     protected VariableTreeNode(bool deserializing) : base(deserializing) { }
    48     protected VariableTreeNode(VariableTreeNode original, Cloner cloner)
     41    protected LaggedTreeNode(bool deserializing) : base(deserializing) { }
     42    protected LaggedTreeNode(LaggedTreeNode original, Cloner cloner)
    4943      : base(original, cloner) {
    50       weight = original.weight;
    51       variableName = original.variableName;
     44      lag = original.lag;
    5245    }
    53     protected VariableTreeNode() { }
    54     public VariableTreeNode(Variable variableSymbol) : base(variableSymbol) { }
     46    public LaggedTreeNode(LaggedSymbol timeLagSymbol) : base(timeLagSymbol) { }
    5547
    5648    public override bool HasLocalParameters {
    57       get {
    58         return true;
    59       }
     49      get { return true; }
    6050    }
    6151
    6252    public override void ResetLocalParameters(IRandom random) {
    6353      base.ResetLocalParameters(random);
    64       weight = NormalDistributedRandom.NextDouble(random, Symbol.WeightMu, Symbol.WeightSigma);
    65       variableName = Symbol.VariableNames.SelectRandom(random);
     54      lag = random.Next(Symbol.MinLag, Symbol.MaxLag + 1);
    6655    }
    6756
    6857    public override void ShakeLocalParameters(IRandom random, double shakingFactor) {
    6958      base.ShakeLocalParameters(random, shakingFactor);
    70       double x = NormalDistributedRandom.NextDouble(random, Symbol.WeightManipulatorMu, Symbol.WeightManipulatorSigma);
    71       weight = weight + x * shakingFactor;
    72       variableName = Symbol.VariableNames.SelectRandom(random);
     59      lag = Math.Min(Symbol.MaxLag, Math.Max(Symbol.MinLag, lag + random.Next(-1, 2)));
    7360    }
    7461
    7562    public override IDeepCloneable Clone(Cloner cloner) {
    76       return new VariableTreeNode(this, cloner);
     63      return new LaggedTreeNode(this, cloner);
    7764    }
    7865
    7966    public override string ToString() {
    80       if (weight.IsAlmost(1.0)) return variableName;
    81       else return weight.ToString("E4") + " " + variableName;
     67      return base.ToString() + " " + lag.ToString();
    8268    }
    8369  }
  • branches/GP.Symbols (TimeLag, Diff, Integral)/HeuristicLab.Problems.DataAnalysis/3.3/Symbolic/Symbols/LaggedVariableTreeNode.cs

    r4722 r5026  
    2626namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Symbols {
    2727  [StorableClass]
    28   public sealed class LaggedVariableTreeNode : VariableTreeNode {
     28  public sealed class LaggedVariableTreeNode : VariableTreeNode, ILaggedTreeNode {
    2929    public new LaggedVariable Symbol {
    3030      get { return (LaggedVariable)base.Symbol; }
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