[2340] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2008 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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| 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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| 22 | using HeuristicLab.Core;
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| 23 | using HeuristicLab.DataAnalysis;
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| 24 | using HeuristicLab.Operators;
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| 25 | using HeuristicLab.Modeling;
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| 26 | using HeuristicLab.Data;
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| 27 |
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[2356] | 28 | namespace HeuristicLab.Modeling {
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| 29 | public static class DefaultTimeSeriesOperators {
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| 30 | public static IOperator CreateProblemInjector() {
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[2340] | 31 | CombinedOperator op = new CombinedOperator();
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| 32 | op.Name = "ProblemInjector";
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| 33 | SequentialProcessor seq = new SequentialProcessor();
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| 34 | seq.AddSubOperator(new ProblemInjector());
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| 35 | op.OperatorGraph.AddOperator(seq);
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| 36 | op.OperatorGraph.InitialOperator = seq;
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| 37 | return op;
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| 38 | }
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| 39 |
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[2356] | 40 | public static IOperator CreatePostProcessingOperator() {
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| 41 | CombinedOperator op = new CombinedOperator();
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| 42 | op.Name = "Time series prognosis model analyzer";
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| 43 |
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[2340] | 44 | SequentialProcessor seq = new SequentialProcessor();
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[2356] | 45 | seq.AddSubOperator(DefaultRegressionOperators.CreatePostProcessingOperator());
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[2340] | 46 |
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[2352] | 47 | SimpleTheilInequalityCoefficientEvaluator trainingTheil = new SimpleTheilInequalityCoefficientEvaluator();
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[2340] | 48 | trainingTheil.Name = "TrainingTheilInequalityEvaluator";
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[2352] | 49 | trainingTheil.GetVariableInfo("Values").ActualName = "TrainingValues";
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[2370] | 50 | trainingTheil.GetVariableInfo("TheilInequalityCoefficient").ActualName = ModelingResult.TrainingTheilInequality.ToString();
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[2352] | 51 | SimpleTheilInequalityCoefficientEvaluator validationTheil = new SimpleTheilInequalityCoefficientEvaluator();
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[2340] | 52 | validationTheil.Name = "ValidationTheilInequalityEvaluator";
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[2352] | 53 | validationTheil.GetVariableInfo("Values").ActualName = "ValidationValues";
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[2370] | 54 | validationTheil.GetVariableInfo("TheilInequalityCoefficient").ActualName = ModelingResult.ValidationTheilInequality.ToString();
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[2352] | 55 | SimpleTheilInequalityCoefficientEvaluator testTheil = new SimpleTheilInequalityCoefficientEvaluator();
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[2340] | 56 | testTheil.Name = "TestTheilInequalityEvaluator";
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[2352] | 57 | testTheil.GetVariableInfo("Values").ActualName = "TestValues";
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[2370] | 58 | testTheil.GetVariableInfo("TheilInequalityCoefficient").ActualName = ModelingResult.TestTheilInequality.ToString();
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[2340] | 59 |
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[2356] | 60 | seq.AddSubOperator(trainingTheil);
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| 61 | seq.AddSubOperator(validationTheil);
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| 62 | seq.AddSubOperator(testTheil);
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| 63 |
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| 64 | op.OperatorGraph.AddOperator(seq);
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| 65 | op.OperatorGraph.InitialOperator = seq;
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| 66 | return op;
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[2340] | 67 | }
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[2344] | 68 |
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[2356] | 69 | public static IAnalyzerModel PopulateAnalyzerModel(IScope modelScope, IAnalyzerModel model) {
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| 70 | DefaultRegressionOperators.PopulateAnalyzerModel(modelScope, model);
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[2370] | 71 | model.ExtractResult(modelScope, ModelingResult.TrainingTheilInequality);
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| 72 | model.ExtractResult(modelScope, ModelingResult.ValidationTheilInequality);
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| 73 | model.ExtractResult(modelScope, ModelingResult.TestTheilInequality);
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[2369] | 74 | model.Type = ModelType.TimeSeriesPrognosis;
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[2356] | 75 | return model;
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[2344] | 76 | }
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[2340] | 77 | }
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| 78 | }
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