[7666] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2012 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;
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| 23 | using System.Linq;
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| 24 |
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| 25 | namespace HeuristicLab.Problems.Instances.Regression {
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| 26 | public class TrentMcConaghyInstanceProvider : ResourceRegressionInstanceProvider {
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| 27 | public override string Name {
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| 28 | get { return "Trent McConaghy Benchmark Problems"; }
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| 29 | }
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| 30 | public override string Description {
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| 31 | get {
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| 32 | return "Paper: Deterministic Symbolic Regression Technology, Genetic Programming Theory and Practice IX" + Environment.NewLine
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| 33 | + "High-Dimensional Statistical Modeling and Analysis of Custom Integrated Circuits" + Environment.NewLine
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| 34 | + "Authors: T. McConaghy" + Environment.NewLine
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| 35 | + "Website: http://trent.st/ffx/";
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| 36 | }
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| 37 | }
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| 38 | public override Uri WebLink {
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| 39 | get { return new Uri("http://trent.st/ffx/"); }
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| 40 | }
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| 41 | public override string ReferencePublication {
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| 42 | get { return ""; }
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| 43 | }
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| 44 |
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| 45 | protected override string FileExtension { get { return "TrentMcConaghy"; } }
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| 46 |
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| 47 | public override RegressionData LoadData(IDataDescriptor id) {
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| 48 | RegressionData regData = base.LoadData(id);
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| 49 |
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| 50 | regData.TargetVariable = regData.InputVariables.First();
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[7682] | 51 | regData.AllowedInputVariables = regData.InputVariables.Where(x => !x.Equals(regData.TargetVariable)).ToArray();
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[7666] | 52 |
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| 53 | return regData;
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| 54 | }
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| 55 | }
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| 56 | }
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