#region License Information /* HeuristicLab * Copyright (C) 2002-2016 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 HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Problems.DataAnalysis { [StorableClass] [Item("Regression Model", "Base class for all regression models.")] public abstract class RegressionModel : DataAnalysisModel, IRegressionModel { [Storable] private string targetVariable; public string TargetVariable { get { return targetVariable; } set { if (string.IsNullOrEmpty(value) || targetVariable == value) return; targetVariable = value; OnTargetVariableChanged(this, EventArgs.Empty); } } protected RegressionModel(bool deserializing) : base(deserializing) { targetVariable = string.Empty; } protected RegressionModel(RegressionModel original, Cloner cloner) : base(original, cloner) { this.targetVariable = original.targetVariable; } protected RegressionModel(string targetVariable) : base("Regression Model") { this.targetVariable = targetVariable; } protected RegressionModel(string targetVariable, string name) : base(name) { this.targetVariable = targetVariable; } protected RegressionModel(string targetVariable, string name, string description) : base(name, description) { this.targetVariable = targetVariable; } public abstract IEnumerable GetEstimatedValues(IDataset dataset, IEnumerable rows); public abstract IRegressionSolution CreateRegressionSolution(IRegressionProblemData problemData); #region events public event EventHandler TargetVariableChanged; private void OnTargetVariableChanged(object sender, EventArgs args) { var changed = TargetVariableChanged; if (changed != null) changed(sender, args); } #endregion } }