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source: trunk/sources/HeuristicLab.Problems.DataAnalysis/3.3/SupportVectorMachine/SupportVectorMachineModelEvaluator.cs @ 4068

Last change on this file since 4068 was 4068, checked in by swagner, 14 years ago

Sorted usings and removed unused usings in entire solution (#1094)

File size: 5.0 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2009 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.Data;
24using HeuristicLab.Operators;
25using HeuristicLab.Parameters;
26using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
27using SVM;
28
29namespace HeuristicLab.Problems.DataAnalysis.SupportVectorMachine {
30  [StorableClass]
31  [Item("SupportVectorMachineModelEvaluator", "Represents a operator that evaluates a support vector machine model on a data set.")]
32  public class SupportVectorMachineModelEvaluator : SingleSuccessorOperator {
33    private const string DataAnalysisProblemDataParameterName = "DataAnalysisProblemData";
34    private const string ModelParameterName = "SupportVectorMachineModel";
35    private const string SamplesStartParameterName = "SamplesStart";
36    private const string SamplesEndParameterName = "SamplesEnd";
37    private const string ValuesParameterName = "Values";
38
39    #region parameter properties
40    public IValueLookupParameter<DataAnalysisProblemData> DataAnalysisProblemDataParameter {
41      get { return (IValueLookupParameter<DataAnalysisProblemData>)Parameters[DataAnalysisProblemDataParameterName]; }
42    }
43    public IValueLookupParameter<IntValue> SamplesStartParameter {
44      get { return (IValueLookupParameter<IntValue>)Parameters[SamplesStartParameterName]; }
45    }
46    public IValueLookupParameter<IntValue> SamplesEndParameter {
47      get { return (IValueLookupParameter<IntValue>)Parameters[SamplesEndParameterName]; }
48    }
49    public ILookupParameter<SupportVectorMachineModel> SupportVectorMachineModelParameter {
50      get { return (ILookupParameter<SupportVectorMachineModel>)Parameters[ModelParameterName]; }
51    }
52    public ILookupParameter<DoubleMatrix> ValuesParameter {
53      get { return (ILookupParameter<DoubleMatrix>)Parameters[ValuesParameterName]; }
54    }
55    #endregion
56    #region properties
57    public DataAnalysisProblemData DataAnalysisProblemData {
58      get { return DataAnalysisProblemDataParameter.ActualValue; }
59    }
60    public SupportVectorMachineModel SupportVectorMachineModel {
61      get { return SupportVectorMachineModelParameter.ActualValue; }
62    }
63    public IntValue SamplesStart {
64      get { return SamplesStartParameter.ActualValue; }
65    }
66    public IntValue SamplesEnd {
67      get { return SamplesEndParameter.ActualValue; }
68    }
69    #endregion
70    public SupportVectorMachineModelEvaluator()
71      : base() {
72      Parameters.Add(new ValueLookupParameter<DataAnalysisProblemData>(DataAnalysisProblemDataParameterName, "The data analysis problem data to use for training."));
73      Parameters.Add(new LookupParameter<SupportVectorMachineModel>(ModelParameterName, "The result model generated by the SVM."));
74      Parameters.Add(new ValueLookupParameter<IntValue>(SamplesStartParameterName, "The first index of the data set partition on which the SVM model should be evaluated."));
75      Parameters.Add(new ValueLookupParameter<IntValue>(SamplesEndParameterName, "The last index of the data set partition on which the SVM model should be evaluated."));
76      Parameters.Add(new LookupParameter<DoubleMatrix>(ValuesParameterName, "A matrix of original values of the target variable and output values of the SVM model."));
77    }
78
79    public override IOperation Apply() {
80      int start = SamplesStart.Value;
81      int end = SamplesEnd.Value;
82
83      ValuesParameter.ActualValue = new DoubleMatrix(Evaluate(SupportVectorMachineModel, DataAnalysisProblemData, start, end));
84      return base.Apply();
85    }
86
87    public static double[,] Evaluate(SupportVectorMachineModel model, DataAnalysisProblemData problemData, int start, int end) {
88      SVM.Problem problem = SupportVectorMachineUtil.CreateSvmProblem(problemData, start, end);
89      SVM.Problem scaledProblem = model.RangeTransform.Scale(problem);
90
91      int targetVariableIndex = problemData.Dataset.GetVariableIndex(problemData.TargetVariable.Value);
92
93      double[,] values = new double[scaledProblem.Count, 2];
94      for (int i = 0; i < scaledProblem.Count; i++) {
95        values[i, 0] = problemData.Dataset[start + i, targetVariableIndex];
96        values[i, 1] = SVM.Prediction.Predict(model.Model, scaledProblem.X[i]);
97      }
98
99      return values;
100    }
101  }
102}
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