#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 System.Collections.Generic; using System.Text; using System.Xml; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Operators; using HeuristicLab.DataAnalysis; namespace HeuristicLab.StructureIdentification { public class StructIdProblemInjector : OperatorBase { public override string Description { get { return @"Injects the necessary variables for a structure identification problem."; } } public StructIdProblemInjector() : base() { AddVariableInfo(new VariableInfo("Dataset", "Dataset", typeof(Dataset), VariableKind.New)); GetVariableInfo("Dataset").Local = true; AddVariable(new Variable("Dataset", new Dataset())); AddVariableInfo(new VariableInfo("TargetVariable", "TargetVariable", typeof(IntData), VariableKind.New)); GetVariableInfo("TargetVariable").Local = true; AddVariable(new Variable("TargetVariable", new IntData())); AddVariableInfo(new VariableInfo("AllowedFeatures", "Indexes of allowed input variables", typeof(ItemList), VariableKind.New)); GetVariableInfo("AllowedFeatures").Local = true; AddVariable(new Variable("AllowedFeatures", new ItemList())); AddVariableInfo(new VariableInfo("TrainingSamplesStart", "TrainingSamplesStart", typeof(IntData), VariableKind.New)); GetVariableInfo("TrainingSamplesStart").Local = true; AddVariable(new Variable("TrainingSamplesStart", new IntData())); AddVariableInfo(new VariableInfo("TrainingSamplesEnd", "TrainingSamplesEnd", typeof(IntData), VariableKind.New)); GetVariableInfo("TrainingSamplesEnd").Local = true; AddVariable(new Variable("TrainingSamplesEnd", new IntData())); AddVariableInfo(new VariableInfo("ValidationSamplesStart", "ValidationSamplesStart", typeof(IntData), VariableKind.New)); GetVariableInfo("ValidationSamplesStart").Local = true; AddVariable(new Variable("ValidationSamplesStart", new IntData())); AddVariableInfo(new VariableInfo("ValidationSamplesEnd", "ValidationSamplesEnd", typeof(IntData), VariableKind.New)); GetVariableInfo("ValidationSamplesEnd").Local = true; AddVariable(new Variable("ValidationSamplesEnd", new IntData())); AddVariableInfo(new VariableInfo("TestSamplesStart", "TestSamplesStart", typeof(IntData), VariableKind.New)); GetVariableInfo("TestSamplesStart").Local = true; AddVariable(new Variable("TestSamplesStart", new IntData())); AddVariableInfo(new VariableInfo("TestSamplesEnd", "TestSamplesEnd", typeof(IntData), VariableKind.New)); GetVariableInfo("TestSamplesEnd").Local = true; AddVariable(new Variable("TestSamplesEnd", new IntData())); } public override IView CreateView() { return new StructIdProblemInjectorView(this); } public override IOperation Apply(IScope scope) { foreach(VariableInfo info in VariableInfos) { if(info.Local) { IVariable var = GetVariable(info.FormalName); if(var!=null) scope.AddVariable(new Variable(info.ActualName, (IItem)var.Value.Clone())); } } return null; } } }