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source: branches/3.2/sources/HeuristicLab.GP.StructureIdentification/3.3/Evaluators/SimpleGPEvaluatorBase.cs @ 15762

Last change on this file since 15762 was 2578, checked in by gkronber, 15 years ago

Implemented #824 (Refactor: ITreeEvaluator interface to provide a method that evaluates a tree on a range of samples.)

File size: 2.3 KB
Line 
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.Data;
24using HeuristicLab.DataAnalysis;
25using HeuristicLab.Modeling;
26using HeuristicLab.GP.Interfaces;
27using System.Linq;
28
29namespace HeuristicLab.GP.StructureIdentification {
30  public abstract class SimpleGPEvaluatorBase : GPEvaluatorBase {
31    public virtual string OutputVariableName { get { return "Quality"; } }
32
33    public SimpleGPEvaluatorBase()
34      : base() {
35      AddVariableInfo(new VariableInfo(OutputVariableName, OutputVariableName, typeof(DoubleData), VariableKind.New | VariableKind.Out));
36    }
37
38    public override void Evaluate(IScope scope, IFunctionTree tree, ITreeEvaluator evaluator, Dataset dataset, int targetVariable, int start, int end) {
39      // store original and estimated values in a double array
40      double[,] values = Matrix<double>.Create(
41        dataset.GetVariableValues(targetVariable, start, end),
42        evaluator.Evaluate(dataset, tree, Enumerable.Range(start, end - start)).ToArray());
43
44      double quality = Evaluate(values);
45
46      DoubleData qualityData = GetVariableValue<DoubleData>(OutputVariableName, scope, false, false);
47      if (qualityData == null) {
48        qualityData = new DoubleData();
49        scope.AddVariable(new HeuristicLab.Core.Variable(scope.TranslateName(OutputVariableName), qualityData));
50      }
51
52      qualityData.Data = quality;
53
54    }
55
56    public abstract double Evaluate(double[,] values);
57  }
58}
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