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Interfaces

Timestamp:

06/25/15 13:46:24 (9 years ago)

Author:

mkommend

Message:

#2276: Reintegrated branch for dataset refactoring.

Location:

Files:

r12012	r12509
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	}

r12012	r12509
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	}

r12012	r12509
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	}

r12012	r12509
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;

r12012	r12509
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	}

r12012	r12509
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; }

-                      r12508
+                      r12509
 using System.Collections.Generic;
 using System.Collections.ObjectModel;
+using HeuristicLab.Core;
 using HeuristicLab.Data;
 namespace HeuristicLab.Problems.DataAnalysis {
   public interface IDataset : IStringConvertibleMatrix {
+  public interface IDataset : IItem, IStringConvertibleMatrix {
     IEnumerable<string> VariableNames { get; }
     IEnumerable<string> DoubleVariables { get; }

r12012	r12509
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	}

r12012	r12509
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	}

r12012	r12509
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	}

r12012	r12509
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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