#region License Information
/* HeuristicLab
* Copyright (C) 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 HEAL.Attic;
using HeuristicLab.Common;
using HeuristicLab.Core;
namespace HeuristicLab.Problems.DataAnalysis {
[StorableType("B53C4C71-3715-4BB1-9A95-4E969D8135C6")]
[Item("Shape-constrained Regression Problem", "A regression problem with shape constraints.")]
public class ShapeConstrainedRegressionProblem : DataAnalysisProblem, IShapeConstrainedRegressionProblem {
[StorableConstructor]
protected ShapeConstrainedRegressionProblem(StorableConstructorFlag _) : base(_) { }
protected ShapeConstrainedRegressionProblem(ShapeConstrainedRegressionProblem original, Cloner cloner) : base(original, cloner) { }
public override IDeepCloneable Clone(Cloner cloner) { return new ShapeConstrainedRegressionProblem(this, cloner); }
public ShapeConstrainedRegressionProblemData ShapeConstrainedRegressionProblemData {
get => (ShapeConstrainedRegressionProblemData)ProblemData;
set => ProblemData = value;
}
public ShapeConstrainedRegressionProblem() : base(new ShapeConstrainedRegressionProblemData()) { }
public override void Load(IRegressionProblemData data) {
if (data is ShapeConstrainedRegressionProblemData scProblemData) {
// use directly
} else {
scProblemData = new ShapeConstrainedRegressionProblemData(data.Dataset, data.AllowedInputVariables, data.TargetVariable,
data.TrainingPartition, data.TestPartition) {
Name = data.Name,
Description = data.Description
};
}
base.Load(scProblemData);
}
}
}