#region License Information
/* HeuristicLab
* Copyright (C) 2002-2011 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
*
* This file is part of HeuristicLab.
*
* HeuristicLab is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* HeuristicLab is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with HeuristicLab. If not, see .
*/
#endregion
using System;
using System.Collections;
using System.Collections.Generic;
using System.Linq;
using HeuristicLab.Data;
namespace HeuristicLab.Problems.DataAnalysis.Benchmarks {
public class HighSenseampDelay : RegressionRealWorldBenchmark {
private const string fileName = "senseamp_delay.csv";
public HighSenseampDelay() {
Name = "McConaghy High senseamp_delay";
Description = "Paper: Deterministic Symbolic Regression Technology, Genetic Programming Theory and Practice IX" + Environment.NewLine
+ "High-Dimensional Statistical Modeling and Analysis of Custom Integrated Circuits" + Environment.NewLine
+ "Authors: T. McConaghy" + Environment.NewLine
+ "Website: http://trent.st/ffx/";
}
protected override List GetData() {
csvFileParser = Benchmark.getParserForFile(fileName);
targetVariable = csvFileParser.VariableNames.First();
inputVariables = new List(csvFileParser.VariableNames.Skip(1));
int trainingPartEnd = csvFileParser.Rows * 2 / 3;
trainingPartition = new IntRange(0, trainingPartEnd);
testPartition = new IntRange(trainingPartEnd, csvFileParser.Rows);
return csvFileParser.Values;
}
}
}