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1 | using System;
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2 | using System.Collections.Generic;
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3 | using System.Drawing;
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4 | using System.Linq;
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5 | using System.Text;
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6 | using System.Threading.Tasks;
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7 | using HeuristicLab.Common;
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8 | using HeuristicLab.Core;
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9 | using HeuristicLab.Data;
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10 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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11 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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12 | using HeuristicLab.Problems.DataAnalysis;
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13 |
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14 | namespace HeuristicLab.Problems.GeneticProgramming.GlucosePrediction {
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15 | [StorableClass]
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16 | [Item("Model", "")]
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17 | public sealed class Model : NamedItem, IRegressionModel {
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18 | private readonly IRegressionProblemData problemData;
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19 | private readonly ISymbolicExpressionTree tree;
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20 |
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21 | private Model(Model original, Cloner cloner) {
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22 | this.problemData = cloner.Clone(original.problemData);
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23 | this.tree = cloner.Clone(original.tree);
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24 | }
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25 |
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26 | public Model(IRegressionProblemData problemData, ISymbolicExpressionTree tree) {
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27 | this.problemData = problemData;
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28 | this.tree = tree;
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29 | }
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30 |
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31 | public override IDeepCloneable Clone(Cloner cloner) {
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32 | return new Model(this, cloner);
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33 | }
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34 |
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35 | public IEnumerable<double> GetEstimatedValues(IDataset dataset, IEnumerable<int> rows) {
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36 | return Interpreter.Apply(tree.Root.GetSubtree(0).GetSubtree(0), problemData.Dataset, rows);
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37 | }
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38 |
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39 | public IRegressionSolution CreateRegressionSolution(IRegressionProblemData problemData) {
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40 | return new Solution(this, problemData);
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41 | }
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42 | }
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43 | }
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