#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;
}
}
}