#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;
using System.Collections.Generic;
using System.Linq;
using HEAL.Attic;
using HeuristicLab.Common;
using HeuristicLab.Core;
namespace HeuristicLab.Problems.DataAnalysis {
[StorableType("A56BFB05-8F11-4766-9FBF-20C7010F1CA3")]
[Item("ProblemDataConstraints", "Represents constraints associated with a problem data.")]
public class ProblemDataConstraint : Item {
private static readonly string exampleInput = "# Example for a target variable constraint:" + Environment.NewLine +
"Target:'y' in [0 .. 100]" + Environment.NewLine + Environment.NewLine +
"# Example for constraint on model parameter: " + Environment.NewLine +
"d'y'/d'x' in [0 .. 10]" + Environment.NewLine +
"∂²'y'/∂'x'² in ]-1 .. inf.[";
[Storable]
private string input;
public string Input {
get => input;
set {
if (input == value) return;
input = value;
OnChanged();
}
}
[Storable]
private IEnumerable constraints;
public IEnumerable Constraints {
get => constraints;
set {
if (constraints == value) return;
constraints = value.ToList();
OnChanged();
}
}
[Storable]
public IRegressionProblemData ProblemData { get; private set; }
[StorableConstructor]
protected ProblemDataConstraint(StorableConstructorFlag _) : base(_) { }
protected ProblemDataConstraint(ProblemDataConstraint original, Cloner cloner)
: base(original, cloner) {
this.Input = original.Input;
this.constraints = original.Constraints.Select(cloner.Clone).ToList();
this.ProblemData = cloner.Clone(original.ProblemData);
}
public override IDeepCloneable Clone(Cloner cloner) {
return new ProblemDataConstraint(this, cloner);
}
public ProblemDataConstraint() : base() {
this.Input = exampleInput;
this.constraints = new List();
this.ProblemData = null;
}
public ProblemDataConstraint(IRegressionProblemData problemData) : base() {
this.Input = exampleInput;
this.constraints = new List();
this.ProblemData = problemData;
}
public event EventHandler Changed;
protected virtual void OnChanged() {
EventHandler handlers = Changed;
if (handlers != null)
handlers(this, EventArgs.Empty);
}
}
}