Last change
on this file since 3215 was
2977,
checked in by gkronber, 15 years ago
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Moved linear scaling functionality out of tree evaluator into a separate operator. #823 (Implement tree evaluator with linear scaling to improve convergence in symbolic regression.)
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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.Modeling {
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10 | public abstract class SimpleEvaluatorBase : OperatorBase {
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11 | public const int ORIGINAL_INDEX = 0;
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12 | public const int ESTIMATION_INDEX = 1;
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13 |
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14 | public virtual string OutputVariableName {
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15 | get { return "Quality"; }
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16 | }
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17 | public SimpleEvaluatorBase()
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18 | : base() {
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19 | AddVariableInfo(new VariableInfo("Values", "Target vs predicted values", typeof(DoubleMatrixData), VariableKind.In));
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20 | AddVariableInfo(new VariableInfo(OutputVariableName, OutputVariableName, typeof(DoubleData), VariableKind.New | VariableKind.Out));
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21 | }
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22 |
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23 | public override IOperation Apply(IScope scope) {
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24 | DoubleMatrixData values = GetVariableValue<DoubleMatrixData>("Values", scope, true);
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25 | DoubleData quality = GetVariableValue<DoubleData>(OutputVariableName, scope, false, false);
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26 | if (quality == null) {
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27 | quality = new DoubleData();
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28 | scope.AddVariable(new HeuristicLab.Core.Variable(scope.TranslateName(OutputVariableName), quality));
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29 | }
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30 |
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31 | quality.Data = Evaluate(values.Data);
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32 | return null;
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33 | }
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34 |
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35 | public abstract double Evaluate(double[,] values);
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36 | }
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37 | }
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