#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.Linq; using System.Windows.Forms.DataVisualization.Charting; using HeuristicLab.MainForm; namespace HeuristicLab.Problems.DataAnalysis.Views { [View("Residuals Line Chart")] [Content(typeof(IRegressionSolution))] public partial class RegressionSolutionResidualsLineChartView : RegressionSolutionLineChartViewBase, IDataAnalysisSolutionEvaluationView { public RegressionSolutionResidualsLineChartView() : base() { InitializeComponent(); } protected override void GetTrainingSeries(out int[] idx, out double[] y) { idx = Content.ProblemData.TrainingIndices.ToArray(); y = Content.EstimatedTrainingValues.ToArray(); CalcResiduals(idx, y); } private void CalcResiduals(int[] idx, double[] x) { var problemData = Content.ProblemData; var target = problemData.Dataset.GetDoubleValues(problemData.TargetVariable, idx).ToArray(); for (int i = 0; i < idx.Length; i++) { x[i] -= target[i]; } } protected override void GetTestSeries(out int[] idx, out double[] y) { idx = Content.ProblemData.TestIndices.ToArray(); y = Content.EstimatedTestValues.ToArray(); CalcResiduals(idx, y); } protected override void GetAllValuesSeries(out int[] idx, out double[] y) { idx = Content.ProblemData.AllIndices.ToArray(); y = Content.EstimatedValues.ToArray(); CalcResiduals(idx, y); } protected override void RedrawChart() { base.RedrawChart(); UpdateSeriesStyle(); } private void UpdateSeriesStyle() { if (InvokeRequired) Invoke((Action)UpdateSeriesStyle); else { if (Content == null) return; double[] res; int[] idx; GetTrainingSeries(out idx, out res); base.chart.Series[RegressionSolutionLineChartView.ESTIMATEDVALUES_TRAINING_SERIES_NAME].YAxisType = AxisType.Secondary; base.chart.Series[RegressionSolutionLineChartView.ESTIMATEDVALUES_TRAINING_SERIES_NAME].ChartType = SeriesChartType.RangeColumn; base.chart.Series[RegressionSolutionLineChartView.ESTIMATEDVALUES_TRAINING_SERIES_NAME].Points.DataBindXY(idx, res.Select(_ => 0.0).ToArray(), res); GetTestSeries(out idx, out res); base.chart.Series[RegressionSolutionLineChartView.ESTIMATEDVALUES_TEST_SERIES_NAME].YAxisType = AxisType.Secondary; base.chart.Series[RegressionSolutionLineChartView.ESTIMATEDVALUES_TEST_SERIES_NAME].ChartType = SeriesChartType.RangeColumn; base.chart.Series[RegressionSolutionLineChartView.ESTIMATEDVALUES_TEST_SERIES_NAME].Points.DataBindXY(idx, res.Select(_ => 0.0).ToArray(), res); GetAllValuesSeries(out idx, out res); base.chart.Series[RegressionSolutionLineChartView.ESTIMATEDVALUES_ALL_SERIES_NAME].YAxisType = AxisType.Secondary; base.chart.Series[RegressionSolutionLineChartView.ESTIMATEDVALUES_ALL_SERIES_NAME].ChartType = SeriesChartType.RangeColumn; base.chart.Series[RegressionSolutionLineChartView.ESTIMATEDVALUES_ALL_SERIES_NAME].Points.DataBindXY(idx, res.Select(_ => 0.0).ToArray(), res); } } } }