source: branches/2719_HeuristicLab.DatastreamAnalysis/HeuristicLab.DatastreamAnalysis/3.4/ProxyEnsembleModel.cs

#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 <http://www.gnu.org/licenses/>.
 */
 #endregion

using System;
using System.Collections.Generic;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Parameters;
using HeuristicLab.Problems.DataAnalysis;
using HEAL.Attic;

namespace HeuristicLab.DatastreamAnalysis {
  [Item("Proxy Ensemble Model", "Represents a named and rated collection of models which acts as a model yet again.")]  
  [Creatable(CreatableAttribute.Categories.DataAnalysis)]
  [StorableType("F3794605-3D02-4482-8919-2FC29EBDB6F4")]
  public class ProxyEnsembleModel : ParameterizedNamedItem, IProxyEnsembleModel {
    protected const string ModelParameterName = "Model";
    protected const string QualityThresholdParameterName = "QualityThreshold";
    protected const string ConfidenceThresholdParameterName = "ConfidenceThreshold";

    #region parameter properties

    public IValueParameter<RegressionEnsembleModel> ModelParameter {
      get { return (IValueParameter<RegressionEnsembleModel>) Parameters[ModelParameterName]; }
    }

    public IValueParameter<DoubleRange> QualityThresholdParameter {
      get { return (IValueParameter<DoubleRange>) Parameters[QualityThresholdParameterName]; }
    }

    public IValueParameter<DoubleRange> ConfidenceThresholdParameter {
      get { return (IValueParameter<DoubleRange>)Parameters[ConfidenceThresholdParameterName]; }
    }

    public RegressionEnsembleModel Model {
      get { return ModelParameter.Value; }
      set {
        if(value == null) throw new ArgumentNullException("Model", "The provided value for model is null.");
        ModelParameter.Value = value;
      }
    }

    public DoubleRange QualityThreshold {
      get { return QualityThresholdParameter.Value; }
      set { QualityThresholdParameter.Value = value; }
    }

    public DoubleRange ConfidenceThreshold {
      get { return ConfidenceThresholdParameter.Value; }
      set { ConfidenceThresholdParameter.Value = value; }
    }

    #endregion

    #region constructors, clone ...
    [StorableConstructor]
    protected ProxyEnsembleModel(StorableConstructorFlag _) : base(_) { }
    protected ProxyEnsembleModel(ProxyEnsembleModel original, Cloner cloner) : base(original, cloner) {
      RegisterParameterEvents();
    }
    public override IDeepCloneable Clone(Cloner cloner) {
      return new ProxyEnsembleModel(this, cloner);
    }
    public ProxyEnsembleModel() : base() {
      Parameters.Add(new ValueParameter<RegressionEnsembleModel>(ModelParameterName, "Collection of models.", null));
      Parameters.Add(new FixedValueParameter<DoubleRange>(QualityThresholdParameterName, "Quality threshold for the ensemble evaluation [0.0,1.0]", new DoubleRange(0.8,0.9)));
      Parameters.Add(new FixedValueParameter<DoubleRange>(ConfidenceThresholdParameterName, "Confidence threshold for the ensemble evaluation [0.0,1.0]", new DoubleRange(0.8, 0.9)));
      RegisterParameterEvents();
    }
    [StorableHook(HookType.AfterDeserialization)]
    private void AfterDeserialization() {
      RegisterParameterEvents();
    }
    #endregion

    public event EventHandler Reset;
    public event EventHandler ModelChanged;
    public event EventHandler QualityThresholdChanged;
    public event EventHandler ConfidenceThresholdChanged;

    private void RegisterParameterEvents() {
      ModelParameter.ValueChanged += new EventHandler(Model_ValueChanged);
      QualityThresholdParameter.ValueChanged += new EventHandler(QualityTreshold_ValueChanged);
      ConfidenceThresholdParameter.ValueChanged += new EventHandler(ConfidenceTreshold_ValueChanged);
    }

    private void Model_ValueChanged(object sender, EventArgs e) {
      if (e == null) return;
      DatastreamAnalysisUtil.RaiseEvent(this, ModelChanged);
    }

    private void QualityTreshold_ValueChanged(object sender, EventArgs e) {
      if (e == null) return;
      DatastreamAnalysisUtil.RaiseEvent(this, QualityThresholdChanged);
    }

    private void ConfidenceTreshold_ValueChanged(object sender, EventArgs e) {
      if (e == null) return;
      DatastreamAnalysisUtil.RaiseEvent(this, ConfidenceThresholdChanged);
    }

    // TODO
    public IEnumerable<IParameterizedItem> ExecutionContextItems { get; }
  }
}