#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.Generic; using System.Drawing; using System.Linq; using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; using HeuristicLab.Problems.DataAnalysis; namespace HeuristicLab.Algorithms.DataAnalysis { /// /// Represents a random forest solution for a classification problem which can be visualized in the GUI. /// [Item("RandomForestClassificationSolution", "Represents a random forest solution for a classification problem which can be visualized in the GUI.")] [StorableClass] public sealed class RandomForestClassificationSolution : ClassificationSolution, IRandomForestClassificationSolution { public new IRandomForestModel Model { get { return (IRandomForestModel)base.Model; } set { base.Model = value; } } [StorableConstructor] private RandomForestClassificationSolution(bool deserializing) : base(deserializing) { } private RandomForestClassificationSolution(RandomForestClassificationSolution original, Cloner cloner) : base(original, cloner) { } public RandomForestClassificationSolution(IClassificationProblemData problemData, IRandomForestModel randomForestModel) : base(randomForestModel, problemData) { } public override IDeepCloneable Clone(Cloner cloner) { return new RandomForestClassificationSolution(this, cloner); } } }