#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
}
}