[5496] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[12012] | 3 | * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[5496] | 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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[5507] | 22 | using System.Collections.Generic;
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[5496] | 23 | namespace HeuristicLab.Problems.DataAnalysis {
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[5530] | 24 | public interface IRegressionSolution : IDataAnalysisSolution {
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[5496] | 25 | new IRegressionModel Model { get; }
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[6653] | 26 | new IRegressionProblemData ProblemData { get; set; }
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[5507] | 27 |
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| 28 | IEnumerable<double> EstimatedValues { get; }
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| 29 | IEnumerable<double> EstimatedTrainingValues { get; }
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| 30 | IEnumerable<double> EstimatedTestValues { get; }
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| 31 | IEnumerable<double> GetEstimatedValues(IEnumerable<int> rows);
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[5717] | 32 |
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| 33 | double TrainingMeanSquaredError { get; }
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| 34 | double TestMeanSquaredError { get; }
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[6643] | 35 | double TrainingMeanAbsoluteError { get; }
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| 36 | double TestMeanAbsoluteError { get; }
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[5717] | 37 | double TrainingRSquared { get; }
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| 38 | double TestRSquared { get; }
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[5829] | 39 | double TrainingRelativeError { get; }
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| 40 | double TestRelativeError { get; }
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[6588] | 41 | double TrainingNormalizedMeanSquaredError { get; }
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| 42 | double TestNormalizedMeanSquaredError { get; }
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[12869] | 43 | double TrainingRootMeanSquaredError { get; }
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| 44 | double TestRootMeanSquaredError { get; }
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[5496] | 45 | }
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| 46 | }
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