Last change
on this file since 4695 was
1808,
checked in by mkommend, 16 years ago
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SupportVectorEvaluator and SVMHelper added (ticket #619)
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File size:
1.3 KB
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1 | using System;
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2 | using System.Collections.Generic;
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3 | using System.Linq;
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4 | using System.Text;
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5 | using HeuristicLab.Core;
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6 | using HeuristicLab.Data;
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7 | using HeuristicLab.DataAnalysis;
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8 |
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9 | namespace HeuristicLab.SupportVectorMachines {
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10 | public class SVMHelper {
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11 | public static SVM.Problem CreateSVMProblem(Dataset dataset, ItemList<IntData> allowedFeatures, int targetVariable, int start, int end) {
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12 | int rowCount = end - start;
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13 | double[] samples = dataset.Samples;
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14 |
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15 | SVM.Node[][] nodes = new SVM.Node[rowCount][];
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16 | List<SVM.Node> tempRow;
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17 | double value;
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18 | for (int row = 0; row < rowCount; row++) {
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19 | tempRow = new List<SVM.Node>();
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20 | for (int col = 0; col < allowedFeatures.Count; col++) {
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21 | value = samples[(start + row) * dataset.Columns + allowedFeatures[col].Data];
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22 | if(!double.IsNaN(value))
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23 | tempRow.Add(new SVM.Node(allowedFeatures[col].Data, value));
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24 | }
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25 | nodes[row] = tempRow.ToArray();
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26 | }
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27 |
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28 | double[] targetVector = new double[rowCount];
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29 | for (int i = 0; i < rowCount; i++)
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30 | targetVector[i] = samples[(start + i) * dataset.Columns + targetVariable];
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31 |
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32 | return new SVM.Problem(rowCount, targetVector, nodes, allowedFeatures.Max(x => x.Data));
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33 | }
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34 | }
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35 | }
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