#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 .
*/
#endregion
using System.Collections.Generic;
using System.Linq;
using System.Windows.Forms;
using alglib;
using HeuristicLab.Common;
using HeuristicLab.Data;
using HeuristicLab.MainForm;
using HeuristicLab.MainForm.WindowsForms;
using HeuristicLab.Optimization;
using System;
using HeuristicLab.Problems.DataAnalysis.Regression.Symbolic;
using HeuristicLab.Problems.DataAnalysis.Symbolic.Symbols;
using HeuristicLab.Problems.DataAnalysis.Evaluators;
using HeuristicLab.Analysis;
namespace HeuristicLab.Problems.DataAnalysis.Views {
[Content(typeof(RunCollection), false)]
[View("RunCollection Validation Trajectory View")]
public partial class RunCollectionValidationTrajectoryView : AsynchronousContentView {
private const string validationQualityResultName = "Best solution quality table";
private const string validationComplexityResultName = "Best solution complexity";
public RunCollectionValidationTrajectoryView() {
InitializeComponent();
}
public new RunCollection Content {
get { return (RunCollection)base.Content; }
set { base.Content = value; }
}
protected override void RegisterContentEvents() {
base.RegisterContentEvents();
this.Content.ItemsAdded += new HeuristicLab.Collections.CollectionItemsChangedEventHandler(Content_ItemsAdded);
this.Content.ItemsRemoved += new HeuristicLab.Collections.CollectionItemsChangedEventHandler(Content_ItemsRemoved);
this.Content.CollectionReset += new HeuristicLab.Collections.CollectionItemsChangedEventHandler(Content_CollectionReset);
}
protected override void DeregisterContentEvents() {
base.RegisterContentEvents();
this.Content.ItemsAdded -= new HeuristicLab.Collections.CollectionItemsChangedEventHandler(Content_ItemsAdded);
this.Content.ItemsRemoved -= new HeuristicLab.Collections.CollectionItemsChangedEventHandler(Content_ItemsRemoved);
this.Content.CollectionReset -= new HeuristicLab.Collections.CollectionItemsChangedEventHandler(Content_CollectionReset);
}
protected override void OnContentChanged() {
base.OnContentChanged();
this.UpdateData();
}
private void Content_ItemsAdded(object sender, HeuristicLab.Collections.CollectionItemsChangedEventArgs e) {
this.UpdateData();
}
private void Content_ItemsRemoved(object sender, HeuristicLab.Collections.CollectionItemsChangedEventArgs e) {
this.UpdateData();
}
private void Content_CollectionReset(object sender, HeuristicLab.Collections.CollectionItemsChangedEventArgs e) {
this.UpdateData();
}
private void UpdateData() {
matrixView.Content = CalculateValidationStatisticsTable();
}
private DataTable CalculateValidationStatisticsTable() {
DataTable matrix = null;
if (Content != null) {
List runsWithSolutions = (from run in Content
where run.Results.ContainsKey(validationComplexityResultName)
where run.Results.ContainsKey(validationQualityResultName)
select run)
.ToList();
IList allComplexityTables = (from run in Content
where run.Results.ContainsKey(validationComplexityResultName)
select run.Results[validationComplexityResultName])
.Cast()
.ToList();
IList allQualityTables = (from run in Content
where run.Results.ContainsKey(validationQualityResultName)
select run.Results[validationQualityResultName])
.Cast()
.ToList();
List complexityAttributes = new List() {
"Best solution size",
"Best solution height",
"Best solution variables",
};
List qualityAttributes = new List() {
"Training MSE",
"Test MSE",
"Training R²",
"Test R²"
};
matrix = new DataTable();
//matrix.RowNames = rowNames;
//matrix.ColumnNames = attributes;
for (int column = 0; column < complexityAttributes.Count; column++) {
string attribute = complexityAttributes[column];
matrix.Rows.Add(GetSolutionLockedAverage(attribute, allComplexityTables));
}
for (int column = 0; column < qualityAttributes.Count; column++) {
string attribute = qualityAttributes[column];
matrix.Rows.Add(GetSolutionLockedAverage(attribute, allQualityTables));
}
}
return matrix;
}
private DataRow GetSolutionLockedAverage(string attribute, IList runTables) {
DataRow dataRow = new DataRow(attribute);
List> runLists = new List>();
int n = 0;
foreach (DataTable dt in runTables) {
List runList = new List();
runList.AddRange(dt.Rows[attribute].Values);
runLists.Add(runList);
if (n < runList.Count) {
n = runList.Count;
}
}
for (int row = n; row > 0; row--) {
List values = new List();
foreach (List runList in runLists) {
if (runList.Count >= row) {
values.Add(runList[runList.Count - row]);
}
}
dataRow.Values.Add(values.Median());
}
return dataRow;
}
}
}