[5496] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[16565] | 3 | * Copyright (C) 2002-2019 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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[16565] | 23 | using HEAL.Attic;
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| 24 |
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[5496] | 25 | namespace HeuristicLab.Problems.DataAnalysis {
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[16565] | 26 | [StorableType("b9d7d1f7-c603-45ef-b372-71b82446fa72")]
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[5530] | 27 | public interface IRegressionSolution : IDataAnalysisSolution {
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[5496] | 28 | new IRegressionModel Model { get; }
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[6653] | 29 | new IRegressionProblemData ProblemData { get; set; }
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[5507] | 30 |
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| 31 | IEnumerable<double> EstimatedValues { get; }
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| 32 | IEnumerable<double> EstimatedTrainingValues { get; }
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| 33 | IEnumerable<double> EstimatedTestValues { get; }
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| 34 | IEnumerable<double> GetEstimatedValues(IEnumerable<int> rows);
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[5717] | 35 |
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| 36 | double TrainingMeanSquaredError { get; }
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| 37 | double TestMeanSquaredError { get; }
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[6643] | 38 | double TrainingMeanAbsoluteError { get; }
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| 39 | double TestMeanAbsoluteError { get; }
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[5717] | 40 | double TrainingRSquared { get; }
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| 41 | double TestRSquared { get; }
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[5829] | 42 | double TrainingRelativeError { get; }
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| 43 | double TestRelativeError { get; }
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[6588] | 44 | double TrainingNormalizedMeanSquaredError { get; }
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| 45 | double TestNormalizedMeanSquaredError { get; }
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[12851] | 46 | double TrainingRootMeanSquaredError { get; }
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| 47 | double TestRootMeanSquaredError { get; }
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[5496] | 48 | }
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| 49 | }
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