#region License Information /* HeuristicLab * Copyright (C) 2002-2014 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.Windows.Forms; using HeuristicLab.Core; using HeuristicLab.MainForm; namespace HeuristicLab.Problems.DataAnalysis.Views { [View("RegressionEnsembleSolution View")] [Content(typeof(RegressionEnsembleSolution), false)] public partial class RegressionEnsembleSolutionView : RegressionSolutionView { public RegressionEnsembleSolutionView() { InitializeComponent(); } protected override void SetEnabledStateOfControls() { base.SetEnabledStateOfControls(); //loading of problemdata is currently not support for ensemble solutions loadProblemDataButton.Enabled = false; loadProblemDataButton.Visible = false; } public new RegressionEnsembleSolution Content { get { return (RegressionEnsembleSolution)base.Content; } set { base.Content = value; } } protected override void OnContentChanged() { base.OnContentChanged(); itemsListView.Items.Remove(itemsListView.FindItemWithText("Model: RegressionEnsembleModel")); } #region drag & drop protected override void itemsListView_DragDrop(object sender, DragEventArgs e) { if (e.Effect != DragDropEffects.None) { var droppedData = e.Data.GetData(HeuristicLab.Common.Constants.DragDropDataFormat); if (droppedData is IValueParameter) droppedData = ((IValueParameter)droppedData).Value; if (droppedData is IRegressionProblem) droppedData = ((IRegressionProblem)droppedData).ProblemData; RegressionEnsembleProblemData ensembleProblemData = droppedData as RegressionEnsembleProblemData; IRegressionProblemData problemData = droppedData as IRegressionProblemData; if (ensembleProblemData != null) { Content.ProblemData = (RegressionEnsembleProblemData)ensembleProblemData.Clone(); } else if (problemData != null) { Content.ProblemData = new RegressionEnsembleProblemData((IRegressionProblemData)problemData.Clone()); } } } #endregion } }