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source: branches/RegressionBenchmarks/HeuristicLab.Problems.DataAnalysis.Benchmarks/3.4/RegressionBenchmarks/Trent McConaghy/HighVoltrefPWR.cs @ 7485

Last change on this file since 7485 was 7485, checked in by sforsten, 12 years ago

#1708:

  • changes according to mkommend's reviewing comments have been made
File size: 2.0 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using System;
23using System.Collections;
24using System.Collections.Generic;
25using System.Linq;
26using HeuristicLab.Data;
27
28namespace HeuristicLab.Problems.DataAnalysis.Benchmarks {
29  public class HighVoltrefPWR : RegressionRealWorldBenchmark {
30
31    private const string fileName = "voltref_PWR.csv";
32
33    public HighVoltrefPWR() {
34      Name = "McConaghy High voltref_PWR";
35      Description = "Paper: Deterministic Symbolic Regression Technology, Genetic Programming Theory and Practice IX" + Environment.NewLine
36        + "High-Dimensional Statistical Modeling and Analysis of Custom Integrated Circuits" + Environment.NewLine
37        + "Authors: T. McConaghy" + Environment.NewLine
38        + "Website: http://trent.st/ffx/";
39
40      trainingPartition = new IntRange(0, 596);
41    }
42
43    protected override List<IList> GetData() {
44      csvFileParser = Benchmark.getParserForFile(fileName);
45
46      targetVariable = csvFileParser.VariableNames.First();
47      inputVariables = new List<string>(csvFileParser.VariableNames.Skip(1));
48
49      testPartition = new IntRange(trainingPartition.End, csvFileParser.Rows);
50
51      return csvFileParser.Values;
52    }
53  }
54}
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