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source: trunk/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Classification/IDiscriminantFunctionClassificationModel.cs

Last change on this file was 17180, checked in by swagner, 5 years ago

#2875: Removed years in copyrights

File size: 1.9 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 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 HEAL.Attic;
25
26namespace HeuristicLab.Problems.DataAnalysis {
27  [StorableType("ea474735-61d0-4ada-8970-ac1d78ce4d15")]
28  public interface IDiscriminantFunctionClassificationModel : IClassificationModel {
29    IEnumerable<double> Thresholds { get; }
30    IEnumerable<double> ClassValues { get; }
31    IDiscriminantFunctionThresholdCalculator ThresholdCalculator { get; }
32    void RecalculateModelParameters(IClassificationProblemData problemData, IEnumerable<int> rows);
33    // class values and thresholds can only be assigned simultanously
34    void SetThresholdsAndClassValues(IEnumerable<double> thresholds, IEnumerable<double> classValues);
35    IEnumerable<double> GetEstimatedValues(IDataset dataset, IEnumerable<int> rows);
36    IEnumerable<double> GetEstimatedClassValues(IEnumerable<double> estimatedValues);
37
38    event EventHandler ThresholdsChanged;
39
40    IDiscriminantFunctionClassificationSolution CreateDiscriminantFunctionClassificationSolution(IClassificationProblemData problemData);
41  }
42}
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