Changeset 12509 for trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.TimeSeriesPrognosis

Timestamp:

06/25/15 13:46:24 (10 years ago)

Author:

mkommend

Message:

#2276: Reintegrated branch for dataset refactoring.

Location:

trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.TimeSeriesPrognosis/3.4

Files:

• Interfaces/ISymbolicTimeSeriesPrognogisExpressionTreeInterpreter.cs (modified) (1 diff)
• SymbolicTimeSeriesPrognosisExpressionTreeInterpreter.cs (modified) (2 diffs)
• SymbolicTimeSeriesPrognosisModel.cs (modified) (1 diff)

trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.TimeSeriesPrognosis/3.4/Interfaces/ISymbolicTimeSeriesPrognogisExpressionTreeInterpreter.cs

@@ -26 +26 @@
   public interface ISymbolicTimeSeriesPrognosisExpressionTreeInterpreter : ISymbolicDataAnalysisExpressionTreeInterpreter {
     string TargetVariable { get; set; }
-    IEnumerable<IEnumerable<double>> GetSymbolicExpressionTreeValues(ISymbolicExpressionTree tree, Dataset dataset, IEnumerable<int> rows, int horizon);
-    IEnumerable<IEnumerable<double>> GetSymbolicExpressionTreeValues(ISymbolicExpressionTree tree, Dataset dataset, IEnumerable<int> rows, IEnumerable<int> horizon);
+    IEnumerable<IEnumerable<double>> GetSymbolicExpressionTreeValues(ISymbolicExpressionTree tree, IDataset dataset, IEnumerable<int> rows, int horizon);
+    IEnumerable<IEnumerable<double>> GetSymbolicExpressionTreeValues(ISymbolicExpressionTree tree, IDataset dataset, IEnumerable<int> rows, IEnumerable<int> horizon);
   }
 }

trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.TimeSeriesPrognosis/3.4/SymbolicTimeSeriesPrognosisExpressionTreeInterpreter.cs

@@ -69 +69 @@
 
     // for each row several (=#horizon) future predictions
-    public IEnumerable<IEnumerable<double>> GetSymbolicExpressionTreeValues(ISymbolicExpressionTree tree, Dataset dataset, IEnumerable<int> rows, int horizon) {
+    public IEnumerable<IEnumerable<double>> GetSymbolicExpressionTreeValues(ISymbolicExpressionTree tree, IDataset dataset, IEnumerable<int> rows, int horizon) {
       return GetSymbolicExpressionTreeValues(tree, dataset, rows, rows.Select(row => horizon));
     }
 
-    public IEnumerable<IEnumerable<double>> GetSymbolicExpressionTreeValues(ISymbolicExpressionTree tree, Dataset dataset, IEnumerable<int> rows, IEnumerable<int> horizons) {
+    public IEnumerable<IEnumerable<double>> GetSymbolicExpressionTreeValues(ISymbolicExpressionTree tree, IDataset dataset, IEnumerable<int> rows, IEnumerable<int> horizons) {
       if (CheckExpressionsWithIntervalArithmetic.Value)
         throw new NotSupportedException("Interval arithmetic is not yet supported in the symbolic data analysis interpreter.");
@@ -116 +116 @@
     }
 
-    private static InterpreterState PrepareInterpreterState(ISymbolicExpressionTree tree, Dataset dataset, double[] targetVariableCache, string targetVariable) {
+    private static InterpreterState PrepareInterpreterState(ISymbolicExpressionTree tree, IDataset dataset, double[] targetVariableCache, string targetVariable) {
       Instruction[] code = SymbolicExpressionTreeCompiler.Compile(tree, OpCodes.MapSymbolToOpCode);
       int necessaryArgStackSize = 0;

trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.TimeSeriesPrognosis/3.4/SymbolicTimeSeriesPrognosisModel.cs

@@ -49 +49 @@
     public SymbolicTimeSeriesPrognosisModel(ISymbolicExpressionTree tree, ISymbolicTimeSeriesPrognosisExpressionTreeInterpreter interpreter, double lowerLimit = double.MinValue, double upperLimit = double.MaxValue) : base(tree, interpreter, lowerLimit, upperLimit) { }
 
-    public IEnumerable<IEnumerable<double>> GetPrognosedValues(Dataset dataset, IEnumerable<int> rows, IEnumerable<int> horizons) {
+    public IEnumerable<IEnumerable<double>> GetPrognosedValues(IDataset dataset, IEnumerable<int> rows, IEnumerable<int> horizons) {
       var estimatedValues = Interpreter.GetSymbolicExpressionTreeValues(SymbolicExpressionTree, dataset, rows, horizons);
       return estimatedValues.Select(predictionPerRow => predictionPerRow.LimitToRange(LowerEstimationLimit, UpperEstimationLimit));