| 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 = modelScope.GetVariableValue<StringData>("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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