[13941] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[17210] | 3 | * Copyright (C) Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[13941] | 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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[16243] | 22 | using System;
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[13941] | 23 | using System.Collections.Generic;
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| 24 | using HeuristicLab.Common;
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| 25 | using HeuristicLab.Core;
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[16628] | 26 | using HEAL.Attic;
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[13941] | 27 |
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| 28 | namespace HeuristicLab.Problems.DataAnalysis {
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[16640] | 29 | [StorableType("EF0EF64F-392A-448A-B30F-1AE113C6CC88")]
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[13941] | 30 | [Item("DataAnalysisModel", "Base class for data analysis models.")]
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| 31 | public abstract class DataAnalysisModel : NamedItem, IDataAnalysisModel {
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| 32 | [StorableConstructor]
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[16628] | 33 | protected DataAnalysisModel(StorableConstructorFlag _) : base(_) { }
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[13941] | 34 | protected DataAnalysisModel(DataAnalysisModel original, Cloner cloner)
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| 35 | : base(original, cloner) { }
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| 36 | protected DataAnalysisModel() { }
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| 37 | protected DataAnalysisModel(string name) : base(name) { }
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| 38 | protected DataAnalysisModel(string name, string description) : base(name, description) { }
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| 39 |
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| 40 | public abstract IEnumerable<string> VariablesUsedForPrediction { get; }
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[16243] | 41 |
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| 42 | public virtual bool IsDatasetCompatible(IDataset dataset, out string errorMessage) {
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| 43 | if (dataset == null) throw new ArgumentNullException("dataset", "The provided dataset is null.");
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| 44 | return IsDatasetCompatible(this, dataset, out errorMessage);
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| 45 | }
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| 46 |
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| 47 | public abstract bool IsProblemDataCompatible(IDataAnalysisProblemData problemData, out string errorMessage);
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| 48 |
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| 49 | public static bool IsDatasetCompatible(IDataAnalysisModel model, IDataset dataset, out string errorMessage) {
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| 50 | if(model == null) throw new ArgumentNullException("model", "The provided model is null.");
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| 51 | if (dataset == null) throw new ArgumentNullException("dataset", "The provided dataset is null.");
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| 52 | errorMessage = string.Empty;
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| 53 |
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| 54 | foreach (var variable in model.VariablesUsedForPrediction) {
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| 55 | if (!dataset.ContainsVariable(variable)) {
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| 56 | if (string.IsNullOrEmpty(errorMessage)) {
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| 57 | errorMessage = "The following variables must be present in the dataset for model evaluation:";
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| 58 | }
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| 59 | errorMessage += System.Environment.NewLine + " " + variable;
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| 60 | }
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| 61 | }
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| 62 |
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| 63 | return string.IsNullOrEmpty(errorMessage);
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| 64 | }
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[13941] | 65 | }
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| 66 | }
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