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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.Modeling {
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10 | public class SimpleDirectionalSymmetryEvaluator : SimpleEvaluatorBase {
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11 |
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12 | public override string OutputVariableName {
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13 | get {
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14 | return "DirectionalSymmetry";
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15 | }
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16 | }
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17 |
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18 | public override double Evaluate(double[,] values) {
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19 | return Calculate(values);
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20 | }
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21 |
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22 | public static double Calculate(double[,] values) {
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23 | int n = 0;
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24 | int nCorrect = 0;
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25 | for (int i = 1; i < values.GetLength(0); i++) {
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26 | double prevOriginal = values[i - 1, ORIGINAL_INDEX];
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27 | double original = values[i, ORIGINAL_INDEX];
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28 | double prevEstimated = values[i - 1, ESTIMATION_INDEX];
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29 | double estimated = values[i, ESTIMATION_INDEX];
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30 |
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31 | if (!(double.IsNaN(original) || double.IsInfinity(original) || double.IsNaN(prevOriginal) || double.IsInfinity(prevOriginal))) {
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32 | n++;
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33 | if (!(double.IsNaN(estimated) || double.IsInfinity(estimated) || double.IsNaN(prevEstimated) || double.IsInfinity(prevEstimated))) {
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34 | if ((original - prevOriginal) * (estimated - prevEstimated) >= 0) nCorrect++;
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35 | }
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36 | }
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37 | }
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38 | return (double)nCorrect / (double)n * 100.0;
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39 | }
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40 | }
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41 | }
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