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source: trunk/sources/HeuristicLab.Modeling/3.2/DefaultModelAnalyzerOperators.cs @ 2396

Last change on this file since 2396 was 2388, checked in by gkronber, 15 years ago

Adapted ModelingResultCalculators to keep a mapping from ModelingResult to evaluators. Using mapping in DefaultOperators for data-modeling engines. #755

File size: 4.6 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2008 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using HeuristicLab.Core;
23using HeuristicLab.DataAnalysis;
24using HeuristicLab.Operators;
25using HeuristicLab.Modeling;
26using HeuristicLab.Data;
27
28namespace HeuristicLab.Modeling {
29  public static class DefaultModelAnalyzerOperators {
30    public static IOperator CreatePostProcessingOperator(ModelType modelType) {
31      CombinedOperator op = new CombinedOperator();
32      op.Name = modelType + " model analyser";
33      SequentialProcessor seq = new SequentialProcessor();
34      var modelingResults = ModelingResultCalculators.GetModelingResult(modelType);
35      foreach (var r in modelingResults.Keys) {
36        seq.AddSubOperator(ModelingResultCalculators.CreateModelingResultEvaluator(r));
37      }
38
39      #region variable impacts
40      VariableEvaluationImpactCalculator evaluationImpactCalculator = new VariableEvaluationImpactCalculator();
41      evaluationImpactCalculator.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart";
42      evaluationImpactCalculator.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd";
43      VariableQualityImpactCalculator qualityImpactCalculator = new VariableQualityImpactCalculator();
44      qualityImpactCalculator.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart";
45      qualityImpactCalculator.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd";
46
47      seq.AddSubOperator(evaluationImpactCalculator);
48      seq.AddSubOperator(qualityImpactCalculator);
49      #endregion
50
51      op.OperatorGraph.AddOperator(seq);
52      op.OperatorGraph.InitialOperator = seq;
53      return op;
54    }
55
56    public static IAnalyzerModel PopulateAnalyzerModel(IScope modelScope, IAnalyzerModel model, ModelType modelType) {
57      model.Predictor = modelScope.GetVariableValue<IPredictor>("Predictor", false);
58      Dataset ds = modelScope.GetVariableValue<Dataset>("Dataset", true);
59      model.Dataset = ds;
60      model.TargetVariable = ds.GetVariableName(modelScope.GetVariableValue<IntData>("TargetVariable", true).Data);
61      model.Type = ModelType.Regression;
62      model.TrainingSamplesStart = modelScope.GetVariableValue<IntData>("TrainingSamplesStart", true).Data;
63      model.TrainingSamplesEnd = modelScope.GetVariableValue<IntData>("TrainingSamplesEnd", true).Data;
64      model.ValidationSamplesStart = modelScope.GetVariableValue<IntData>("ValidationSamplesStart", true).Data;
65      model.ValidationSamplesEnd = modelScope.GetVariableValue<IntData>("ValidationSamplesEnd", true).Data;
66      model.TestSamplesStart = modelScope.GetVariableValue<IntData>("TestSamplesStart", true).Data;
67      model.TestSamplesEnd = modelScope.GetVariableValue<IntData>("TestSamplesEnd", true).Data;
68
69      var modelingResults = ModelingResultCalculators.GetModelingResult(modelType);
70      foreach (var r in modelingResults.Keys) {
71        model.ExtractResult(modelScope, r);
72      }
73
74      ItemList evaluationImpacts = modelScope.GetVariableValue<ItemList>(ModelingResult.VariableEvaluationImpact.ToString(), false);
75      ItemList qualityImpacts = modelScope.GetVariableValue<ItemList>(ModelingResult.VariableQualityImpact.ToString(), false);
76      foreach (ItemList row in evaluationImpacts) {
77        string variableName = ((StringData)row[0]).Data;
78        double impact = ((DoubleData)row[1]).Data;
79        model.SetVariableResult(ModelingResult.VariableEvaluationImpact, variableName, impact);
80        model.AddInputVariable(variableName);
81      }
82      foreach (ItemList row in qualityImpacts) {
83        string variableName = ((StringData)row[0]).Data;
84        double impact = ((DoubleData)row[1]).Data;
85        model.SetVariableResult(ModelingResult.VariableQualityImpact, variableName, impact);
86        model.AddInputVariable(variableName);
87      }
88
89      return model;
90    }
91  }
92}
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