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source: trunk/sources/HeuristicLab.Problems.DataAnalysis.Regression/3.3/Symbolic/ISymbolicRegressionEvaluator.cs @ 3373

Last change on this file since 3373 was 3373, checked in by gkronber, 14 years ago

Refactored HeuristicLab.Problems.DataAnalysis namespace. #938 (Data types and operators for regression problems)

File size: 1.7 KB
RevLine 
[3253]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;
35
36namespace HeuristicLab.Problems.DataAnalysis.Regression.Symbolic {
37  public interface ISymbolicRegressionEvaluator : ISingleObjectiveEvaluator {
38    ILookupParameter<SymbolicExpressionTree> FunctionTreeParameter { get; }
[3373]39    ILookupParameter<DataAnalysisProblemData> RegressionProblemDataParameter { get; }
[3253]40    ILookupParameter<DoubleValue> NumberOfEvaluatedNodesParameter { get; }
41  }
42}
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