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source: branches/RBFRegression/HeuristicLab.Algorithms.DataAnalysis/3.4/RadialBasisFunctions/Distances/DistanceBase.cs @ 14386

Last change on this file since 14386 was 14386, checked in by bwerth, 7 years ago

#2699 moved RadialBasisFunctions from Problems.SurrogateProblem to Algorithms.DataAnalysis

File size: 2.1 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2016 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.Collections.Generic;
23using HeuristicLab.Common;
24using HeuristicLab.Core;
25using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
26
27namespace HeuristicLab.Algorithms.DataAnalysis {
28  [StorableClass]
29  public abstract class DistanceBase<T> : Item, IDistance<T> {
30
31    #region HLConstructors & Boilerplate
32    [StorableConstructor]
33    protected DistanceBase(bool deserializing) : base(deserializing) { }
34    [StorableHook(HookType.AfterDeserialization)]
35    private void AfterDeserialization() { }
36    protected DistanceBase(DistanceBase<T> original, Cloner cloner)
37      : base(original, cloner) { }
38    protected DistanceBase() { }
39    #endregion
40
41    public abstract double Get(T a, T b);
42    public abstract double Get(T a, T b, double threshold);
43
44    public IComparer<T> GetDistanceComparer(T item) {
45      return new DistanceComparer(item, this);
46    }
47
48    private class DistanceComparer : IComparer<T> {
49      private readonly T item;
50      private readonly IDistance<T> dist;
51
52      public DistanceComparer(T item, IDistance<T> dist) {
53        this.dist = dist;
54        this.item = item;
55      }
56
57      public int Compare(T x, T y) {
58        return dist.Get(x, item).CompareTo(dist.Get(y, item));
59      }
60    }
61  }
62}
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