- Timestamp:
- 07/10/15 11:51:51 (9 years ago)
- Location:
- stable
- Files:
-
- 12 edited
- 1 copied
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stable
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stable/HeuristicLab.Problems.DataAnalysis
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stable/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Classification/IClassificationEnsembleModel.cs
r12009 r12702 26 26 void Remove(IClassificationModel model); 27 27 IEnumerable<IClassificationModel> Models { get; } 28 IEnumerable<IEnumerable<double>> GetEstimatedClassValueVectors( Dataset dataset, IEnumerable<int> rows);28 IEnumerable<IEnumerable<double>> GetEstimatedClassValueVectors(IDataset dataset, IEnumerable<int> rows); 29 29 } 30 30 } -
stable/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Classification/IClassificationEnsembleSolution.cs
r12009 r12702 26 26 new IClassificationEnsembleModel Model { get; } 27 27 IItemCollection<IClassificationSolution> ClassificationSolutions { get; } 28 IEnumerable<IEnumerable<double>> GetEstimatedClassValueVectors( Dataset dataset, IEnumerable<int> rows);28 IEnumerable<IEnumerable<double>> GetEstimatedClassValueVectors(IDataset dataset, IEnumerable<int> rows); 29 29 } 30 30 } -
stable/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Classification/IClassificationModel.cs
r12009 r12702 23 23 namespace HeuristicLab.Problems.DataAnalysis { 24 24 public interface IClassificationModel : IDataAnalysisModel { 25 IEnumerable<double> GetEstimatedClassValues( Dataset dataset, IEnumerable<int> rows);25 IEnumerable<double> GetEstimatedClassValues(IDataset dataset, IEnumerable<int> rows); 26 26 IClassificationSolution CreateClassificationSolution(IClassificationProblemData problemData); 27 27 } -
stable/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Classification/IDiscriminantFunctionClassificationModel.cs
r12009 r12702 30 30 // class values and thresholds can only be assigned simultanously 31 31 void SetThresholdsAndClassValues(IEnumerable<double> thresholds, IEnumerable<double> classValues); 32 IEnumerable<double> GetEstimatedValues( Dataset dataset, IEnumerable<int> rows);32 IEnumerable<double> GetEstimatedValues(IDataset dataset, IEnumerable<int> rows); 33 33 34 34 event EventHandler ThresholdsChanged; -
stable/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Clustering/IClusteringModel.cs
r12009 r12702 23 23 namespace HeuristicLab.Problems.DataAnalysis { 24 24 public interface IClusteringModel : IDataAnalysisModel { 25 IEnumerable<int> GetClusterValues( Dataset dataset, IEnumerable<int> rows);25 IEnumerable<int> GetClusterValues(IDataset dataset, IEnumerable<int> rows); 26 26 } 27 27 } -
stable/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/IDataAnalysisProblemData.cs
r12009 r12702 29 29 bool IsEmpty { get; } 30 30 31 Dataset Dataset { get; }31 IDataset Dataset { get; } 32 32 ICheckedItemList<StringValue> InputVariables { get; } 33 33 IEnumerable<string> AllowedInputVariables { get; } -
stable/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Regression/IRegressionEnsembleModel.cs
r12009 r12702 26 26 void Remove(IRegressionModel model); 27 27 IEnumerable<IRegressionModel> Models { get; } 28 IEnumerable<IEnumerable<double>> GetEstimatedValueVectors( Dataset dataset, IEnumerable<int> rows);28 IEnumerable<IEnumerable<double>> GetEstimatedValueVectors(IDataset dataset, IEnumerable<int> rows); 29 29 } 30 30 } -
stable/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Regression/IRegressionEnsembleSolution.cs
r12009 r12702 27 27 new RegressionEnsembleProblemData ProblemData { get; set; } 28 28 IItemCollection<IRegressionSolution> RegressionSolutions { get; } 29 IEnumerable<IEnumerable<double>> GetEstimatedValueVectors( Dataset dataset, IEnumerable<int> rows);29 IEnumerable<IEnumerable<double>> GetEstimatedValueVectors(IDataset dataset, IEnumerable<int> rows); 30 30 } 31 31 } -
stable/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Regression/IRegressionModel.cs
r12009 r12702 23 23 namespace HeuristicLab.Problems.DataAnalysis { 24 24 public interface IRegressionModel : IDataAnalysisModel { 25 IEnumerable<double> GetEstimatedValues( Dataset dataset, IEnumerable<int> rows);25 IEnumerable<double> GetEstimatedValues(IDataset dataset, IEnumerable<int> rows); 26 26 IRegressionSolution CreateRegressionSolution(IRegressionProblemData problemData); 27 27 } -
stable/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/TimeSeriesPrognosis/ITimeSeriesPrognosisModel.cs
r12009 r12702 23 23 namespace HeuristicLab.Problems.DataAnalysis { 24 24 public interface ITimeSeriesPrognosisModel : IRegressionModel { 25 IEnumerable<IEnumerable<double>> GetPrognosedValues( Dataset dataset, IEnumerable<int> rows, IEnumerable<int> horizons);25 IEnumerable<IEnumerable<double>> GetPrognosedValues(IDataset dataset, IEnumerable<int> rows, IEnumerable<int> horizons); 26 26 ITimeSeriesPrognosisSolution CreateTimeSeriesPrognosisSolution(ITimeSeriesPrognosisProblemData problemData); 27 27 }
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