Changeset 12509 for trunk/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/TimeSeriesPrognosis
- Timestamp:
- 06/25/15 13:46:24 (10 years ago)
- Location:
- trunk/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/TimeSeriesPrognosis
- Files:
-
- 3 edited
Legend:
- Unmodified
- Added
- Removed
-
trunk/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/TimeSeriesPrognosis/Models/ConstantTimeSeriesPrognosisModel.cs
r12012 r12509 39 39 public ConstantTimeSeriesPrognosisModel(double constant) : base(constant) { } 40 40 41 public IEnumerable<IEnumerable<double>> GetPrognosedValues( Dataset dataset, IEnumerable<int> rows, IEnumerable<int> horizons) {41 public IEnumerable<IEnumerable<double>> GetPrognosedValues(IDataset dataset, IEnumerable<int> rows, IEnumerable<int> horizons) { 42 42 return horizons.Select(horizon => Enumerable.Repeat(Constant, horizon)); 43 43 } -
trunk/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/TimeSeriesPrognosis/Models/TimeSeriesPrognosisAutoRegressiveModel.cs
r12012 r12509 58 58 } 59 59 60 public IEnumerable<IEnumerable<double>> GetPrognosedValues( Dataset dataset, IEnumerable<int> rows, IEnumerable<int> horizons) {60 public IEnumerable<IEnumerable<double>> GetPrognosedValues(IDataset dataset, IEnumerable<int> rows, IEnumerable<int> horizons) { 61 61 var rowsEnumerator = rows.GetEnumerator(); 62 62 var horizonsEnumerator = horizons.GetEnumerator(); … … 91 91 } 92 92 93 public IEnumerable<double> GetEstimatedValues( Dataset dataset, IEnumerable<int> rows) {93 public IEnumerable<double> GetEstimatedValues(IDataset dataset, IEnumerable<int> rows) { 94 94 var targetVariables = dataset.GetReadOnlyDoubleValues(TargetVariable); 95 95 foreach (int row in rows) { -
trunk/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/TimeSeriesPrognosis/TimeSeriesPrognosisProblemData.cs
r12012 r12509 1582 1582 TrainingPartition.Start = 50; 1583 1583 } 1584 public TimeSeriesPrognosisProblemData( Dataset dataset, IEnumerable<string> allowedInputVariables, string targetVariable, IEnumerable<ITransformation> transformations = null)1584 public TimeSeriesPrognosisProblemData(IDataset dataset, IEnumerable<string> allowedInputVariables, string targetVariable, IEnumerable<ITransformation> transformations = null) 1585 1585 : base(dataset, allowedInputVariables, targetVariable, transformations ?? Enumerable.Empty<ITransformation>()) { 1586 1586 Parameters.Add(new FixedValueParameter<IntValue>(TrainingHorizonParameterName, "Specifies the horizon (how far the prognosis reaches in the future) for each training sample.", new IntValue(1)));
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