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source: trunk/sources/HeuristicLab.Problems.DataAnalysis.Regression/3.3/Symbolic/SymbolicRegressionEvaluator.cs @ 3651

Last change on this file since 3651 was 3491, checked in by gkronber, 15 years ago

Minor improvements. #938 (Data types and operators for regression problems)

File size: 5.6 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2010 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 System;
23using System.Collections.Generic;
24using System.Linq;
25using System.Drawing;
26using HeuristicLab.Common;
27using HeuristicLab.Core;
28using HeuristicLab.Data;
29using HeuristicLab.Optimization;
30using HeuristicLab.Parameters;
31using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
32using HeuristicLab.PluginInfrastructure;
33using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
34using HeuristicLab.Problems.DataAnalysis;
35using HeuristicLab.Operators;
36using HeuristicLab.Problems.DataAnalysis.Symbolic;
37
38namespace HeuristicLab.Problems.DataAnalysis.Regression.Symbolic {
39  [Item("SymbolicRegressionEvaluator", "Evaluates a symbolic regression solution.")]
40  [StorableClass]
41  public abstract class SymbolicRegressionEvaluator : SingleSuccessorOperator, ISymbolicRegressionEvaluator {
42    private const string QualityParameterName = "Quality";
43    private const string SymbolicExpressionTreeInterpreterParameterName = "SymbolicExpressionTreeInterpreter";
44    private const string FunctionTreeParameterName = "FunctionTree";
45    private const string RegressionProblemDataParameterName = "RegressionProblemData";
46    private const string SamplesStartParameterName = "SamplesStart";
47    private const string SamplesEndParameterName = "SamplesEnd";
48    #region ISymbolicRegressionEvaluator Members
49
50    public ILookupParameter<DoubleValue> QualityParameter {
51      get { return (ILookupParameter<DoubleValue>)Parameters[QualityParameterName]; }
52    }
53
54    public ILookupParameter<ISymbolicExpressionTreeInterpreter> SymbolicExpressionTreeInterpreterParameter {
55      get { return (ILookupParameter<ISymbolicExpressionTreeInterpreter>)Parameters[SymbolicExpressionTreeInterpreterParameterName]; }
56    }
57
58    public ILookupParameter<SymbolicExpressionTree> SymbolicExpressionTreeParameter {
59      get { return (ILookupParameter<SymbolicExpressionTree>)Parameters[FunctionTreeParameterName]; }
60    }
61
62    public ILookupParameter<DataAnalysisProblemData> RegressionProblemDataParameter {
63      get { return (ILookupParameter<DataAnalysisProblemData>)Parameters[RegressionProblemDataParameterName]; }
64    }
65
66    public IValueLookupParameter<IntValue> SamplesStartParameter {
67      get { return (IValueLookupParameter<IntValue>)Parameters[SamplesStartParameterName]; }
68    }
69
70    public IValueLookupParameter<IntValue> SamplesEndParameter {
71      get { return (IValueLookupParameter<IntValue>)Parameters[SamplesEndParameterName]; }
72    }
73
74    #endregion
75    #region properties
76    public ISymbolicExpressionTreeInterpreter SymbolicExpressionTreeInterpreter {
77      get { return SymbolicExpressionTreeInterpreterParameter.ActualValue; }
78    }
79    public SymbolicExpressionTree SymbolicExpressionTree {
80      get { return SymbolicExpressionTreeParameter.ActualValue; }
81    }
82    public DataAnalysisProblemData RegressionProblemData {
83      get { return RegressionProblemDataParameter.ActualValue; }
84    }
85    public IntValue SamplesStart {
86      get { return SamplesStartParameter.ActualValue; }
87    }
88    public IntValue SamplesEnd {
89      get { return SamplesEndParameter.ActualValue; }
90    }
91    #endregion
92
93    public SymbolicRegressionEvaluator()
94      : base() {
95      Parameters.Add(new LookupParameter<DoubleValue>(QualityParameterName, "The quality of the evaluated symbolic regression solution."));
96      Parameters.Add(new LookupParameter<ISymbolicExpressionTreeInterpreter>(SymbolicExpressionTreeInterpreterParameterName, "The interpreter that should be used to calculate the output values of the symbolic expression tree."));
97      Parameters.Add(new LookupParameter<SymbolicExpressionTree>(FunctionTreeParameterName, "The symbolic regression solution encoded as a symbolic expression tree."));
98      Parameters.Add(new LookupParameter<DataAnalysisProblemData>(RegressionProblemDataParameterName, "The problem data on which the symbolic regression solution should be evaluated."));
99      Parameters.Add(new ValueLookupParameter<IntValue>(SamplesStartParameterName, "The start index of the dataset partition on which the symbolic regression solution should be evaluated."));
100      Parameters.Add(new ValueLookupParameter<IntValue>(SamplesEndParameterName, "The end index of the dataset partition on which the symbolic regression solution should be evaluated."));
101    }
102
103    public override IOperation Apply() {
104      QualityParameter.ActualValue = new DoubleValue(Evaluate(SymbolicExpressionTreeInterpreter, SymbolicExpressionTree, RegressionProblemData.Dataset,
105        RegressionProblemData.TargetVariable, SamplesStart, SamplesEnd));
106      return null;
107    }
108
109    protected abstract double Evaluate(ISymbolicExpressionTreeInterpreter interpreter,
110      SymbolicExpressionTree solution,
111      Dataset dataset,
112      StringValue targetVariable,
113      IntValue samplesStart, IntValue samplesEnd);
114  }
115}
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