[11407] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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| 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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| 22 | using System.Collections.Generic;
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| 23 | using System.Linq;
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| 24 | using HeuristicLab.Common;
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| 25 | using HeuristicLab.Core;
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| 26 | using HeuristicLab.Data;
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| 27 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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| 28 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 29 |
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| 30 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
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| 31 | [Item("Pearson R² & Nested Tree size Evaluator", "Calculates the Pearson R² and the nested tree size of a symbolic regression solution.")]
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| 32 | [StorableClass]
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| 33 | public class SymbolicRegressionMultiObjectivePearsonRSquaredNestedTreeSizeEvaluator : SymbolicRegressionMultiObjectiveEvaluator {
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| 34 | [StorableConstructor]
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| 35 | protected SymbolicRegressionMultiObjectivePearsonRSquaredNestedTreeSizeEvaluator(bool deserializing) : base(deserializing) { }
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| 36 | protected SymbolicRegressionMultiObjectivePearsonRSquaredNestedTreeSizeEvaluator(SymbolicRegressionMultiObjectivePearsonRSquaredNestedTreeSizeEvaluator original, Cloner cloner)
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| 37 | : base(original, cloner) {
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| 38 | }
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| 39 | public override IDeepCloneable Clone(Cloner cloner) {
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| 40 | return new SymbolicRegressionMultiObjectivePearsonRSquaredNestedTreeSizeEvaluator(this, cloner);
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| 41 | }
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| 42 |
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| 43 | public SymbolicRegressionMultiObjectivePearsonRSquaredNestedTreeSizeEvaluator() : base() { }
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| 44 |
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| 45 | public override IEnumerable<bool> Maximization { get { return new bool[2] { true, false }; } }
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| 46 |
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| 47 | public override IOperation InstrumentedApply() {
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| 48 | IEnumerable<int> rows = GenerateRowsToEvaluate();
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| 49 | var solution = SymbolicExpressionTreeParameter.ActualValue;
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| 50 | double[] qualities = Calculate(SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, solution, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper, ProblemDataParameter.ActualValue, rows, ApplyLinearScalingParameter.ActualValue.Value);
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| 51 | QualitiesParameter.ActualValue = new DoubleArray(qualities);
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| 52 | return base.InstrumentedApply();
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| 53 | }
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| 54 |
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| 55 | public static double[] Calculate(ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, ISymbolicExpressionTree solution, double lowerEstimationLimit, double upperEstimationLimit, IRegressionProblemData problemData, IEnumerable<int> rows, bool applyLinearScaling) {
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| 56 | double r2 = SymbolicRegressionSingleObjectivePearsonRSquaredEvaluator.Calculate(interpreter, solution, lowerEstimationLimit, upperEstimationLimit, problemData, rows, applyLinearScaling);
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| 57 | return new double[2] { r2, solution.IterateNodesPostfix().Sum(n => n.GetLength()) };
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| 58 | }
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| 59 |
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| 60 | public override double[] Evaluate(IExecutionContext context, ISymbolicExpressionTree tree, IRegressionProblemData problemData, IEnumerable<int> rows) {
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| 61 | SymbolicDataAnalysisTreeInterpreterParameter.ExecutionContext = context;
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| 62 | EstimationLimitsParameter.ExecutionContext = context;
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| 63 | ApplyLinearScalingParameter.ExecutionContext = context;
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| 64 |
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| 65 | double[] quality = Calculate(SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, tree, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper, problemData, rows, ApplyLinearScalingParameter.ActualValue.Value);
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| 66 |
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| 67 | SymbolicDataAnalysisTreeInterpreterParameter.ExecutionContext = null;
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| 68 | EstimationLimitsParameter.ExecutionContext = null;
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| 69 | ApplyLinearScalingParameter.ExecutionContext = null;
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| 70 |
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| 71 | return quality;
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| 72 | }
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| 73 | }
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| 74 | }
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