#region License Information /* HeuristicLab * Copyright (C) 2002-2008 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 HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.DataAnalysis; using System.Linq; namespace HeuristicLab.Modeling { public class TargetClassesCalculator : OperatorBase { public TargetClassesCalculator() : base() { AddVariableInfo(new VariableInfo("Dataset", "The dataset", typeof(Dataset), VariableKind.In)); AddVariableInfo(new VariableInfo("TargetVariable", "Index of the target variable", typeof(IntData), VariableKind.In)); AddVariableInfo(new VariableInfo("TargetClassValues", "The original class values of target variable (for instance negative=0 and positive=1).", typeof(ItemList), VariableKind.New)); } public override IOperation Apply(IScope scope) { Dataset dataset = GetVariableValue("Dataset", scope, true); int targetVariable = GetVariableValue("TargetVariable", scope, true).Data; ItemList classes = new ItemList(); foreach (double x in dataset.GetVariableValues(targetVariable).Distinct().OrderBy(v => v)) { classes.Add(new DoubleData(x)); } scope.AddVariable(new HeuristicLab.Core.Variable(scope.TranslateName("TargetClassValues"), classes)); return null; } } }