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source: trunk/sources/HeuristicLab.Modeling/3.2/IModel.cs @ 2043

Last change on this file since 2043 was 2041, checked in by gkronber, 15 years ago

Implemented base classes for variable impact analysis and implemented specific operators for GP. #644 (Variable impact of CEDMA models should be calculated and stored in the result DB)

File size: 2.0 KB
RevLine 
[1906]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 System;
23using System.Collections.Generic;
24using System.Text;
25using HeuristicLab.Core;
26using HeuristicLab.DataAnalysis;
27
28namespace HeuristicLab.Modeling {
29  public interface IModel {
30    Dataset Dataset { get; }
31    string TargetVariable { get; }
32    double TrainingMeanSquaredError { get; }
33    double ValidationMeanSquaredError { get; }
34    double TestMeanSquaredError { get; }
[1922]35    double TrainingMeanAbsolutePercentageError { get; }
36    double ValidationMeanAbsolutePercentageError { get; }
37    double TestMeanAbsolutePercentageError { get; }
38    double TrainingMeanAbsolutePercentageOfRangeError { get; }
39    double ValidationMeanAbsolutePercentageOfRangeError { get; }
40    double TestMeanAbsolutePercentageOfRangeError { get; }
41    double TrainingCoefficientOfDetermination { get; }
42    double ValidationCoefficientOfDetermination { get; }
43    double TestCoefficientOfDetermination { get; }
44    double TrainingVarianceAccountedFor { get; }
45    double ValidationVarianceAccountedFor { get; }
46    double TestVarianceAccountedFor { get; }
[2041]47    double GetVariableEvaluationImpact(string variableName);
48    double GetVariableQualityImpact(string variableName);
[1922]49
[1906]50    IItem Data { get; }
51  }
52}
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