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source: branches/HeuristicLab.DataAnalysis.Symbolic.LinearInterpreter/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Interfaces/ISymbolicDataAnalysisEvaluator.cs @ 9674

Last change on this file since 9674 was 8664, checked in by mkommend, 12 years ago

#1951:

  • Added linear scaling parameter to data analysis problems.
  • Adapted interfaces, evaluators and analyzers accordingly.
  • Added OnlineBoundedMeanSquaredErrorCalculator.
  • Adapted symbolic regression sample unit test.
File size: 1.5 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2012 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
21using HeuristicLab.Core;
22using HeuristicLab.Data;
23using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
24using HeuristicLab.Optimization;
25namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
26  public interface ISymbolicDataAnalysisEvaluator<T> : IEvaluator
27  where T : class,IDataAnalysisProblemData {
28    ILookupParameter<ISymbolicExpressionTree> SymbolicExpressionTreeParameter { get; }
29    IValueLookupParameter<IntRange> EvaluationPartitionParameter { get; }
30    IValueLookupParameter<PercentValue> RelativeNumberOfEvaluatedSamplesParameter { get; }
31    ILookupParameter<BoolValue> ApplyLinearScalingParameter { get; }
32
33    IValueLookupParameter<T> ProblemDataParameter { get; }
34  }
35}
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