public InteractiveSymbolicTimeSeriesPrognosisSolutionSimplifierView()
      : base() {
      InitializeComponent();
      this.Caption = "Interactive Time-Series Prognosis Solution Simplifier";

      constantNode = ((ConstantTreeNode)new Constant().CreateTreeNode());
      ISymbolicExpressionTreeNode root = new ProgramRootSymbol().CreateTreeNode();
      ISymbolicExpressionTreeNode start = new StartSymbol().CreateTreeNode();
      root.AddSubtree(start);
      tempTree = new SymbolicExpressionTree(root);
    }
    protected static double CalculateReplacementValue(ISymbolicExpressionTreeNode node, ISymbolicExpressionTree sourceTree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter,
      IDataset dataset, IEnumerable<int> rows) {
      //optimization: constant nodes return always the same value
      ConstantTreeNode constantNode = node as ConstantTreeNode;
      if (constantNode != null) return constantNode.Value;

      var rootSymbol = new ProgramRootSymbol().CreateTreeNode();
      var startSymbol = new StartSymbol().CreateTreeNode();
      rootSymbol.AddSubtree(startSymbol);
      startSymbol.AddSubtree((ISymbolicExpressionTreeNode)node.Clone());

      var tempTree = new SymbolicExpressionTree(rootSymbol);
      // clone ADFs of source tree
      for (int i = 1; i < sourceTree.Root.SubtreeCount; i++) {
        tempTree.Root.AddSubtree((ISymbolicExpressionTreeNode)sourceTree.Root.GetSubtree(i).Clone());
      }
      return interpreter.GetSymbolicExpressionTreeValues(tempTree, dataset, rows).Median();
    }
Пример #3
0
 private StartSymbol(StartSymbol original, Cloner cloner) : base(original, cloner) { }
    private static ISymbolicRegressionSolution CreateSymbolicSolution(List<IRegressionModel> models, double nu, IRegressionProblemData problemData) {
      var symbModels = models.OfType<ISymbolicRegressionModel>();
      var lowerLimit = symbModels.Min(m => m.LowerEstimationLimit);
      var upperLimit = symbModels.Max(m => m.UpperEstimationLimit);
      var interpreter = new SymbolicDataAnalysisExpressionTreeLinearInterpreter();
      var progRootNode = new ProgramRootSymbol().CreateTreeNode();
      var startNode = new StartSymbol().CreateTreeNode();

      var addNode = new Addition().CreateTreeNode();
      var mulNode = new Multiplication().CreateTreeNode();
      var scaleNode = (ConstantTreeNode)new Constant().CreateTreeNode(); // all models are scaled using the same nu
      scaleNode.Value = nu;

      foreach (var m in symbModels) {
        var relevantPart = m.SymbolicExpressionTree.Root.GetSubtree(0).GetSubtree(0); // skip root and start
        addNode.AddSubtree((ISymbolicExpressionTreeNode)relevantPart.Clone());
      }

      mulNode.AddSubtree(addNode);
      mulNode.AddSubtree(scaleNode);
      startNode.AddSubtree(mulNode);
      progRootNode.AddSubtree(startNode);
      var t = new SymbolicExpressionTree(progRootNode);
      var combinedModel = new SymbolicRegressionModel(problemData.TargetVariable, t, interpreter, lowerLimit, upperLimit);
      var sol = new SymbolicRegressionSolution(combinedModel, problemData);
      return sol;
    }
    protected SymbolicExpressionGrammar(string name, string description)
      : base(name, description) {
      emptyGrammar = new EmptySymbolicExpressionTreeGrammar(this);

      programRootSymbol = new ProgramRootSymbol();
      AddSymbol(programRootSymbol);
      SetSubtreeCount(programRootSymbol, 1, 1);

      startSymbol = new StartSymbol();
      AddSymbol(startSymbol);
      SetSubtreeCount(startSymbol, 1, 1);

      defunSymbol = new Defun();
      AddSymbol(defunSymbol);
      SetSubtreeCount(defunSymbol, 1, 1);

      AddAllowedChildSymbol(programRootSymbol, startSymbol, 0);
      UpdateAdfConstraints();
    }
    protected SymbolicExpressionGrammar(SymbolicExpressionGrammar original, Cloner cloner)
      : base(original, cloner) {
      emptyGrammar = new EmptySymbolicExpressionTreeGrammar(this);

      foreach (ISymbol symbol in symbols.Values)
        RegisterSymbolEvents(symbol);

      programRootSymbol = cloner.Clone(original.programRootSymbol);
      startSymbol = cloner.Clone(original.StartSymbol);
      defunSymbol = cloner.Clone(original.defunSymbol);

      maximumFunctionArguments = original.maximumFunctionArguments;
      minimumFunctionArguments = original.minimumFunctionArguments;
      maximumFunctionDefinitions = original.maximumFunctionDefinitions;
      minimumFunctionDefinitions = original.minimumFunctionDefinitions;
    }