#region License Information
/* HeuristicLab
* Copyright (C) 2002-2018 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 System.Linq;
using System.Windows.Forms;
using HeuristicLab.Collections;
using HeuristicLab.Core.Views;
using HeuristicLab.MainForm;
using HeuristicLab.MainForm.WindowsForms;
using HeuristicLab.Problems.DataAnalysis;
using HeuristicLab.Visualization.ChartControlsExtensions;
namespace HeuristicLab.Algorithms.DataAnalysis.Views {
[View("Gradient View")]
[Content(typeof(IRegressionSolution))]
public partial class RegressionSolutionGradientView : ItemView {
private const int DrawingSteps = 1000;
private readonly List variableNames;
private readonly ObservableList trackbars;
private ModifiableDataset sharedFixedVariables;
private int ActiveDimension {
get { return trackbars.FindIndex(tb => tb.Checked); }
}
public new IRegressionSolution Content {
get { return (IRegressionSolution)base.Content; }
set { base.Content = value; }
}
public RegressionSolutionGradientView()
: base() {
variableNames = new List();
trackbars = new ObservableList();
trackbars.ItemsAdded += (sender, args) => {
args.Items.Select(i => i.Value).ForEach(RegisterEvents);
};
trackbars.ItemsRemoved += (sender, args) => {
args.Items.Select(i => i.Value).ForEach(DeregisterEvents);
};
trackbars.CollectionReset += (sender, args) => {
args.OldItems.Select(i => i.Value).ForEach(DeregisterEvents);
args.Items.Select(i => i.Value).ForEach(RegisterEvents);
};
InitializeComponent();
// Avoid additional horizontal scrollbar
var vertScrollWidth = SystemInformation.VerticalScrollBarWidth;
tableLayoutPanel.Padding = new Padding(0, 0, vertScrollWidth, 0);
}
private async void UpdateConfigurationControls() {
variableNames.Clear();
trackbars.Clear();
tableLayoutPanel.SuspendRepaint();
tableLayoutPanel.SuspendLayout();
tableLayoutPanel.RowCount = 0;
tableLayoutPanel.Controls.Clear();
if (Content == null) {
tableLayoutPanel.ResumeLayout(false);
tableLayoutPanel.ResumeRepaint(false);
return;
}
variableNames.AddRange(Content.ProblemData.AllowedInputVariables);
var newTrackbars = CreateConfiguration();
sharedFixedVariables = new ModifiableDataset(variableNames, newTrackbars.Select(tb => new List(1) { (double)tb.Value }));
_partialDependencePlot.Configure(new[] { Content }, sharedFixedVariables, variableNames.First(), DrawingSteps);
await _partialDependencePlot.RecalculateAsync();
// Add to table and observable lists
tableLayoutPanel.RowCount = variableNames.Count;
while (tableLayoutPanel.RowStyles.Count < variableNames.Count)
tableLayoutPanel.RowStyles.Add(new RowStyle(SizeType.AutoSize));
for (int i = 0; i < newTrackbars.Count; i++) {
// events registered automatically
trackbars.Add(newTrackbars[i]);
tableLayoutPanel.Controls.Add(newTrackbars[i], 0, i);
}
tableLayoutPanel.ResumeLayout(true);
tableLayoutPanel.ResumeRepaint(true);
// Init Y-axis range
var problemData = Content.ProblemData;
double min = double.MaxValue, max = double.MinValue;
var trainingTarget = problemData.Dataset.GetDoubleValues(problemData.TargetVariable, problemData.TrainingIndices);
foreach (var t in trainingTarget) {
if (t < min) min = t;
if (t > max) max = t;
}
double range = max - min;
const double scale = 1.0 / 3.0;
double axisMin, axisMax, axisInterval;
ChartUtil.CalculateAxisInterval(min - scale * range, max + scale * range, 5, out axisMin, out axisMax, out axisInterval);
_partialDependencePlot.FixedYAxisMin = axisMin;
_partialDependencePlot.FixedYAxisMax = axisMax;
trackbars.First().Checked = true;
}
private IList CreateConfiguration() {
var ranges = new List();
foreach (string variableName in variableNames) {
var values = Content.ProblemData.Dataset.GetDoubleValues(variableName, Content.ProblemData.AllIndices);
double min, max, interval;
ChartUtil.CalculateAxisInterval(values.Min(), values.Max(), 10, out min, out max, out interval);
ranges.Add(new DoubleLimit(min, max));
}
var newTrackbars = new List();
for (int i = 0; i < variableNames.Count; i++) {
var name = variableNames[i];
var trainingData = Content.ProblemData.Dataset.GetDoubleValues(name, Content.ProblemData.TrainingIndices).ToList();
var dimensionTrackbar = new DensityTrackbar(name, ranges[i], trainingData) {
Anchor = AnchorStyles.Top | AnchorStyles.Left | AnchorStyles.Right
};
newTrackbars.Add(dimensionTrackbar);
}
return newTrackbars;
}
private void RegisterEvents(DensityTrackbar trackbar) {
trackbar.CheckedChanged += trackbar_CheckedChanged;
trackbar.ValueChanged += trackbar_ValueChanged;
trackbar.LimitsChanged += trackbar_LimitsChanged;
}
private void DeregisterEvents(DensityTrackbar trackbar) {
trackbar.CheckedChanged -= trackbar_CheckedChanged;
trackbar.ValueChanged -= trackbar_ValueChanged;
trackbar.LimitsChanged -= trackbar_LimitsChanged;
}
private async void trackbar_CheckedChanged(object sender, EventArgs e) {
var trackBar = sender as DensityTrackbar;
if (trackBar == null || !trackBar.Checked) return;
// Uncheck all others
foreach (var tb in trackbars.Except(new[] { trackBar }))
tb.Checked = false;
_partialDependencePlot.FreeVariable = variableNames[trackbars.IndexOf(trackBar)];
await _partialDependencePlot.RecalculateAsync();
}
private async void trackbar_LimitsChanged(object sender, EventArgs e) {
var trackBar = sender as DensityTrackbar;
if (trackBar == null || !trackBar.Checked) return;
_partialDependencePlot.FixedXAxisMin = trackBar.Limits.Lower;
_partialDependencePlot.FixedXAxisMax = trackBar.Limits.Upper;
await _partialDependencePlot.RecalculateAsync();
}
private async void trackbar_ValueChanged(object sender, EventArgs e) {
var trackBar = sender as DensityTrackbar;
if (trackBar == null) return;
sharedFixedVariables.SetVariableValue((double)trackBar.Value, variableNames[trackbars.IndexOf(trackBar)], 0);
await _partialDependencePlot.RecalculateAsync();
}
#region Events
protected override void RegisterContentEvents() {
base.RegisterContentEvents();
Content.ModelChanged += Content_ModelChanged;
Content.ProblemDataChanged += Content_ProblemDataChanged;
}
protected override void DeregisterContentEvents() {
base.DeregisterContentEvents();
Content.ModelChanged -= Content_ModelChanged;
Content.ProblemDataChanged -= Content_ProblemDataChanged;
}
protected override void OnContentChanged() {
base.OnContentChanged();
UpdateConfigurationControls();
}
private void Content_ModelChanged(object sender, EventArgs e) {
UpdateConfigurationControls();
}
private void Content_ProblemDataChanged(object sender, EventArgs e) {
UpdateConfigurationControls();
}
#endregion
}
internal static class Extensions {
public static void ForEach(this IEnumerable source, Action action) {
foreach (T item in source)
action(item);
}
}
}