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source: branches/3.2/sources/HeuristicLab.GP.StructureIdentification/3.3/Evaluators/SimpleEvaluator.cs

Last change on this file 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: 2.1 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.GP.Interfaces;
26using HeuristicLab.Modeling;
27using System.Linq;
28
29namespace HeuristicLab.GP.StructureIdentification {
30  public class SimpleEvaluator : GPEvaluatorBase {
31    public SimpleEvaluator()
32      : base() {
33      AddVariableInfo(new VariableInfo("Values", "Target vs. predicted values", typeof(DoubleMatrixData), VariableKind.New | VariableKind.Out));
34    }
35
36    public override void Evaluate(IScope scope, IFunctionTree tree, ITreeEvaluator evaluator, Dataset dataset, int targetVariable, int start, int end) {
37      DoubleMatrixData values = GetVariableValue<DoubleMatrixData>("Values", scope, false, false);
38      if (values == null) {
39        values = new DoubleMatrixData();
40        IVariableInfo info = GetVariableInfo("Values");
41        if (info.Local)
42          AddVariable(new HeuristicLab.Core.Variable(info.ActualName, values));
43        else
44          scope.AddVariable(new HeuristicLab.Core.Variable(scope.TranslateName(info.FormalName), values));
45      }
46
47      double[,] v = Matrix<double>.Create(
48        dataset.GetVariableValues(targetVariable, start, end),
49        evaluator.Evaluate(dataset, tree, Enumerable.Range(start, end - start)).ToArray());
50      values.Data = v;
51    }
52  }
53}
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