source: branches/DataAnalysis/HeuristicLab.Problems.DataAnalysis.MultiVariate.TimeSeriesPrognosis.Views/3.3/PrognosisView.cs @ 10423

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2010 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.Linq;
using System.Windows.Forms;
using HeuristicLab.Data;
using HeuristicLab.Data.Views;
using HeuristicLab.MainForm;
using HeuristicLab.MainForm.WindowsForms;
using System.Collections.Generic;
using HeuristicLab.Problems.DataAnalysis.MultiVariate.TimeSeriesPrognosis.Symbolic;

namespace HeuristicLab.Problems.DataAnalysis.MultiVariate.TimeSeriesPrognosis.Views {
  [View("Prognosis View")]
  [Content(typeof(SymbolicTimeSeriesPrognosisSolution))]
  public partial class PrognosisView : AsynchronousContentView {
    private const string TARGETVARIABLE_SERIES_NAME = "TargetVariable";
    private const string ESTIMATEDVALUES_SERIES_NAME = "EstimatedValues";
    private int currentTimePoint;
    public new SymbolicTimeSeriesPrognosisSolution Content {
      get { return (SymbolicTimeSeriesPrognosisSolution)base.Content; }
      set {
        base.Content = value;
      }
    }

    public PrognosisView()
      : base() {
      InitializeComponent();
    }

    #region events
    protected override void RegisterContentEvents() {
      base.RegisterContentEvents();
      Content.ProblemDataChanged += new EventHandler(Content_ProblemDataChanged);
    }

    protected override void DeregisterContentEvents() {
      base.DeregisterContentEvents();
      Content.ProblemDataChanged -= new EventHandler(Content_ProblemDataChanged);
    }

    void Content_ProblemDataChanged(object sender, EventArgs e) {
      OnContentChanged();
    }

    protected override void OnContentChanged() {
      base.OnContentChanged();
      if (Content != null) {
        UpdateRowIndexValue();
        UpdateEstimatedValues();
      }
    }


    private void UpdateEstimatedValues() {
      if (InvokeRequired) Invoke((Action)UpdateEstimatedValues);
      DoubleMatrix matrix = null;
        if (Content != null) {
          matrix = CalculateMatrix();
        }
        valuesView.Content = matrix;
    }

    public DoubleMatrix CalculateMatrix() {
      DoubleMatrix matrix = null;
      IEnumerable<string> targetVariables = Content.ProblemData.TargetVariables.CheckedItems.Select(x => x.Value.Value);
      List<double[]> prognosis = Content.GetPrognosis(currentTimePoint).ToList();
      double[,] values = new double[prognosis.Count, targetVariables.Count() * 2];
      for (int row = 0; row < prognosis.Count; row++) {
        int col = 0;
        int t = currentTimePoint + row;
        foreach (string targetVariable in targetVariables) {
          values[row, col++] = t < Content.ProblemData.Dataset.Rows ? Content.ProblemData.Dataset[targetVariable, t] : double.NaN;
          values[row, col++] = prognosis[row][(col - 1) / 2];
        }
      }
      matrix = new DoubleMatrix(values);
      string[] partitions = new string[] { "(original)", "(estimated)" };
      matrix.ColumnNames = from targetVariable in targetVariables
                           from partition in partitions
                           select targetVariable + " " + partition;
      ;
      return matrix;
    }

    private void UpdateRowIndexValue() {
      if(timePointValue.Content!=null)
        timePointValue.Content.ValueChanged -= new EventHandler(Content_ValueChanged);
      currentTimePoint = Content.ProblemData.TestSamplesStart.Value;
      timePointValue.Content = new  IntValue(currentTimePoint);
      timePointValue.Locked = timePointValue.ReadOnly = false;
      timePointValue.Content.ValueChanged += new EventHandler(Content_ValueChanged);
    }

    void Content_ValueChanged(object sender, EventArgs e) {
      currentTimePoint = int.Parse(timePointValue.Content.GetValue());
      UpdateEstimatedValues();
    }
    #endregion
  }
}