#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 HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Logging; using HeuristicLab.Modeling; using HeuristicLab.Operators; using System; namespace HeuristicLab.GP.StructureIdentification.TimeSeries { public class StandardGPTimeSeriesPrognosis : HeuristicLab.GP.StructureIdentification.StandardGPRegression, ITimeSeriesAlgorithm { public override string Name { get { return base.Name + " - time series prognosis"; } } public int MinTimeOffset { get { return GetVariableInjector().GetVariable("MinTimeOffset").GetValue().Data; } set { GetVariableInjector().GetVariable("MinTimeOffset").GetValue().Data = value; } } public int MaxTimeOffset { get { return GetVariableInjector().GetVariable("MaxTimeOffset").GetValue().Data; } set { GetVariableInjector().GetVariable("MaxTimeOffset").GetValue().Data = value; } } public bool UseEstimatedTargetValue { get { return GetVariableInjector().GetVariable("UseEstimatedTargetValue").GetValue().Data; } set { GetVariableInjector().GetVariable("UseEstimatedTargetValue").GetValue().Data = value; } } protected override IOperator CreateProblemInjector() { return DefaultTimeSeriesOperators.CreateProblemInjector(); } protected override IOperator CreateFunctionLibraryInjector() { CombinedOperator op = new CombinedOperator(); op.Name = "FunctionLibraryInjector"; SequentialProcessor seq = new SequentialProcessor(); FunctionLibraryInjector funLibInjector = new FunctionLibraryInjector(); funLibInjector.GetVariable("Differentials").Value = new BoolData(true); seq.AddSubOperator(funLibInjector); seq.AddSubOperator(new HL3TreeEvaluatorInjector()); op.OperatorGraph.AddOperator(seq); op.OperatorGraph.InitialOperator = seq; return op; } protected override IOperator CreateModelAnalyzerOperator() { return DefaultTimeSeriesOperators.CreatePostProcessingOperator(); } protected override VariableInjector CreateGlobalInjector() { VariableInjector injector = base.CreateGlobalInjector(); injector.AddVariable(new HeuristicLab.Core.Variable("MinTimeOffset", new IntData())); injector.AddVariable(new HeuristicLab.Core.Variable("MaxTimeOffset", new IntData())); injector.AddVariable(new HeuristicLab.Core.Variable("UseEstimatedTargetValue", new BoolData())); return injector; } protected override IAnalyzerModel CreateGPModel() { var model = new AnalyzerModel(); var bestModelScope = Engine.GlobalScope.SubScopes[0]; DefaultStructureIdentificationOperators.PopulateAnalyzerModel(bestModelScope, model); DefaultTimeSeriesOperators.PopulateAnalyzerModel(bestModelScope, model); return model; } } }