source: trunk/sources/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/RealWorld/Powermeter.cs @ 15583

Last change on this file since 15583 was 15583, checked in by swagner, 2 years ago

#2640: Updated year of copyrights in license headers

File size: 2.6 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2018 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;
23
24namespace HeuristicLab.Problems.Instances.DataAnalysis {
25  public class Powermeter : ResourceRegressionDataDescriptor {
26    public override string Name { get { return "Powermeter"; } }
27    public override string Description {
28      get {
29        return "This dataset contains measurements from a bike powermeter from three rides on different courses including flat and hilly terrain." +
30               "The powermeter output should be estimated using velocity, ascent velocity, acceleration as well as heart rate and cadence data." +
31               "Data from the first two rides can be used for training the model for power predictions for the third ride." +
32               "AscentVelocity is calculated from velocity and measurements of a barometer. Measurements for heartrate, velocity, and AscentVelocity " +
33               "have been smoothed using a quadratic Savitzky-Golay filter. All variables are measured at 1Hz.";
34      }
35    }
36    protected override string TargetVariable { get { return "Power [W]"; } }
37    protected override string[] VariableNames {
38      get { return new string[] { "Date", "Power [W]", "HR [bpm]", "Cadence [bpm]", "Velocity [m/s]", "AscentVelocity [m/h]", "d(HR)/dt [bpm/s]", "Acceleration [m/s²]" }; }
39    }
40    protected override string[] AllowedInputVariables {
41      get { return new string[] { "HR [bpm]", "Cadence [bpm]", "Velocity [m/s]", "AscentVelocity [m/h]", "d(HR)/dt [bpm/s]", "Acceleration [m/s²]" }; }
42    }
43    protected override int TrainingPartitionStart { get { return 0; } }
44    protected override int TrainingPartitionEnd { get { return 13111; } }
45    protected override int TestPartitionStart { get { return 13111; } }
46    protected override int TestPartitionEnd { get { return 17039; } }
47  }
48}
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