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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28 | namespace HeuristicLab.Modeling {
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29 | public static class DefaultModelAnalyzerOperators {
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30 | public static IOperator CreatePostProcessingOperator(ModelType modelType) {
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31 | CombinedOperator op = new CombinedOperator();
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32 | op.Name = modelType + " model analyser";
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33 | SequentialProcessor seq = new SequentialProcessor();
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34 | var modelingResults = ModelingResultCalculators.GetModelingResult(modelType);
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35 | foreach (var r in modelingResults.Keys) {
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36 | seq.AddSubOperator(ModelingResultCalculators.CreateModelingResultEvaluator(r));
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37 | }
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38 |
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39 | #region variable impacts
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40 | VariableEvaluationImpactCalculator evaluationImpactCalculator = new VariableEvaluationImpactCalculator();
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41 | evaluationImpactCalculator.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart";
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42 | evaluationImpactCalculator.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd";
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43 | VariableQualityImpactCalculator qualityImpactCalculator = new VariableQualityImpactCalculator();
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44 | qualityImpactCalculator.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart";
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45 | qualityImpactCalculator.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd";
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46 |
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47 | seq.AddSubOperator(evaluationImpactCalculator);
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48 | seq.AddSubOperator(qualityImpactCalculator);
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49 | #endregion
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50 |
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51 | op.OperatorGraph.AddOperator(seq);
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52 | op.OperatorGraph.InitialOperator = seq;
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53 | return op;
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54 | }
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55 |
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56 | public static IAnalyzerModel PopulateAnalyzerModel(IScope modelScope, IAnalyzerModel model, ModelType modelType) {
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57 | model.Predictor = modelScope.GetVariableValue<IPredictor>("Predictor", false);
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58 | Dataset ds = modelScope.GetVariableValue<Dataset>("Dataset", true);
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59 | model.Dataset = ds;
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60 | model.TargetVariable = ds.GetVariableName(modelScope.GetVariableValue<IntData>("TargetVariable", true).Data);
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61 | model.Type = ModelType.Regression;
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62 | model.TrainingSamplesStart = modelScope.GetVariableValue<IntData>("TrainingSamplesStart", true).Data;
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63 | model.TrainingSamplesEnd = modelScope.GetVariableValue<IntData>("TrainingSamplesEnd", true).Data;
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64 | model.ValidationSamplesStart = modelScope.GetVariableValue<IntData>("ValidationSamplesStart", true).Data;
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65 | model.ValidationSamplesEnd = modelScope.GetVariableValue<IntData>("ValidationSamplesEnd", true).Data;
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66 | model.TestSamplesStart = modelScope.GetVariableValue<IntData>("TestSamplesStart", true).Data;
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67 | model.TestSamplesEnd = modelScope.GetVariableValue<IntData>("TestSamplesEnd", true).Data;
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68 |
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69 | var modelingResults = ModelingResultCalculators.GetModelingResult(modelType);
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70 | foreach (var r in modelingResults.Keys) {
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71 | model.ExtractResult(modelScope, r);
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72 | }
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73 |
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74 | ItemList evaluationImpacts = modelScope.GetVariableValue<ItemList>(ModelingResult.VariableEvaluationImpact.ToString(), false);
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75 | ItemList qualityImpacts = modelScope.GetVariableValue<ItemList>(ModelingResult.VariableQualityImpact.ToString(), false);
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76 | foreach (ItemList row in evaluationImpacts) {
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77 | string variableName = ((StringData)row[0]).Data;
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78 | double impact = ((DoubleData)row[1]).Data;
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79 | model.SetVariableResult(ModelingResult.VariableEvaluationImpact, variableName, impact);
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80 | model.AddInputVariable(variableName);
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81 | }
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82 | foreach (ItemList row in qualityImpacts) {
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83 | string variableName = ((StringData)row[0]).Data;
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84 | double impact = ((DoubleData)row[1]).Data;
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85 | model.SetVariableResult(ModelingResult.VariableQualityImpact, variableName, impact);
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86 | model.AddInputVariable(variableName);
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87 | }
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88 |
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89 | return model;
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90 | }
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91 | }
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92 | }
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