#region License Information
/* HeuristicLab
* Copyright (C) 2002-2019 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.Collections.Generic;
using System.Linq;
using HeuristicLab.Data;
namespace HeuristicLab.Problems.Instances.DataAnalysis {
public class PennMLRegressionDataDescriptor : ResourceRegressionDataDescriptor {
private readonly string[] variableNames;
private readonly string[] allowedInputVariables;
private readonly string target;
private readonly int trainStart;
private readonly int trainEnd;
private readonly int testStart;
private readonly int testEnd;
public PennMLRegressionDataDescriptor(string resourceName) : base(resourceName) { }
public PennMLRegressionDataDescriptor(string resourceName, IEnumerable variableNames, IEnumerable allowedInputVariables, string target,
IntRange trainRange, IntRange testRange) : this(resourceName) {
this.variableNames = variableNames.ToArray();
this.allowedInputVariables = allowedInputVariables.ToArray();
this.target = target;
this.trainStart = trainRange.Start;
this.trainEnd = trainRange.End;
this.testStart = testRange.Start;
this.testEnd = testRange.End;
}
public override string Name {
get { return ResourceName.Replace(".csv", ""); }
}
public override string Description {
get { return "No description available."; }
}
protected override string TargetVariable {
get { return target; }
}
protected override string[] VariableNames {
get { return variableNames; }
}
protected override string[] AllowedInputVariables {
get { return allowedInputVariables; }
}
protected override int TrainingPartitionStart {
get { return trainStart; }
}
protected override int TrainingPartitionEnd {
get { return trainEnd; }
}
protected override int TestPartitionStart {
get { return testStart; }
}
protected override int TestPartitionEnd {
get { return testEnd; }
}
}
}