[5624] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[15583] | 3 | * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[5624] | 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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[14290] | 22 | using System;
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[5624] | 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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| 26 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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| 27 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 28 |
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| 29 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification {
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| 30 | /// <summary>
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| 31 | /// Represents a symbolic classification model
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| 32 | /// </summary>
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| 33 | [StorableClass]
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| 34 | [Item(Name = "SymbolicClassificationModel", Description = "Represents a symbolic classification model.")]
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[9587] | 35 | public abstract class SymbolicClassificationModel : SymbolicDataAnalysisModel, ISymbolicClassificationModel {
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[13921] | 36 | [Storable]
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[14290] | 37 | private string targetVariable;
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[13921] | 38 | public string TargetVariable {
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| 39 | get { return targetVariable; }
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[14290] | 40 | set {
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| 41 | if (string.IsNullOrEmpty(value) || targetVariable == value) return;
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| 42 | targetVariable = value;
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| 43 | OnTargetVariableChanged(this, EventArgs.Empty);
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| 44 | }
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[13921] | 45 | }
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[8594] | 46 |
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[5624] | 47 | [StorableConstructor]
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[14289] | 48 | protected SymbolicClassificationModel(bool deserializing)
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| 49 | : base(deserializing) {
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| 50 | targetVariable = string.Empty;
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| 51 | }
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[13921] | 52 |
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[13941] | 53 | protected SymbolicClassificationModel(SymbolicClassificationModel original, Cloner cloner)
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| 54 | : base(original, cloner) {
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[13921] | 55 | targetVariable = original.targetVariable;
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| 56 | }
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| 57 |
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[13941] | 58 | protected SymbolicClassificationModel(string targetVariable, ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, double lowerEstimationLimit = double.MinValue, double upperEstimationLimit = double.MaxValue)
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[13921] | 59 | : base(tree, interpreter, lowerEstimationLimit, upperEstimationLimit) {
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| 60 | this.targetVariable = targetVariable;
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| 61 | }
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[5624] | 62 |
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[12509] | 63 | public abstract IEnumerable<double> GetEstimatedClassValues(IDataset dataset, IEnumerable<int> rows);
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[8594] | 64 | public abstract void RecalculateModelParameters(IClassificationProblemData problemData, IEnumerable<int> rows);
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| 65 |
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| 66 | public abstract ISymbolicClassificationSolution CreateClassificationSolution(IClassificationProblemData problemData);
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| 67 |
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| 68 | IClassificationSolution IClassificationModel.CreateClassificationSolution(IClassificationProblemData problemData) {
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| 69 | return CreateClassificationSolution(problemData);
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[5624] | 70 | }
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[8972] | 71 |
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| 72 | public void Scale(IClassificationProblemData problemData) {
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| 73 | Scale(problemData, problemData.TargetVariable);
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| 74 | }
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[14290] | 75 |
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| 76 | #region events
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| 77 | public event EventHandler TargetVariableChanged;
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| 78 | private void OnTargetVariableChanged(object sender, EventArgs args) {
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| 79 | var changed = TargetVariableChanged;
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| 80 | if (changed != null)
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| 81 | changed(sender, args);
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| 82 | }
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| 83 | #endregion
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[5624] | 84 | }
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| 85 | }
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