source: branches/DataPreprocessing/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Clustering/ClusteringProblemData.cs @ 11070

Last change on this file since 11070 was 11070, checked in by mkommend, 5 years ago

#2206: Clean up of data preprocessing code (removed unused code, used more appropriate collections, hiding of the backtransform button of symreg models).

File size: 3.7 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2013 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 System.Linq;
24using HeuristicLab.Common;
25using HeuristicLab.Core;
26using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
27
28namespace HeuristicLab.Problems.DataAnalysis {
29  [StorableClass]
30  [Item("ClusteringProblemData", "Represents an item containing all data defining a clustering problem.")]
31  public sealed class ClusteringProblemData : DataAnalysisProblemData, IClusteringProblemData, IStorableContent {
32    public string Filename { get; set; }
33
34    #region default data
35    private static double[,] kozaF1 = new double[,] {
36          {2.017885919, -1.449165046},
37          {1.30060506,  -1.344523885},
38          {1.147134798, -1.317989331},
39          {0.877182504, -1.266142284},
40          {0.852562452, -1.261020794},
41          {0.431095788, -1.158793317},
42          {0.112586002, -1.050908405},
43          {0.04594507,  -1.021989402},
44          {0.042572879, -1.020438113},
45          {-0.074027291,  -0.959859562},
46          {-0.109178553,  -0.938094706},
47          {-0.259721109,  -0.803635355},
48          {-0.272991057,  -0.387519561},
49          {-0.161978191,  -0.193611001},
50          {-0.102489983,  -0.114215349},
51          {-0.01469968, -0.014918985},
52          {-0.008863365,  -0.008942626},
53          {0.026751057, 0.026054094},
54          {0.166922436, 0.14309643},
55          {0.176953808, 0.1504144},
56          {0.190233418, 0.159916534},
57          {0.199800708, 0.166635331},
58          {0.261502822, 0.207600348},
59          {0.30182879,  0.232370249},
60          {0.83763905,  0.468046718}
61    };
62    private static Dataset defaultDataset;
63    private static IEnumerable<string> defaultAllowedInputVariables;
64
65    static ClusteringProblemData() {
66      defaultDataset = new Dataset(new string[] { "y", "x" }, kozaF1);
67      defaultDataset.Name = "Fourth-order Polynomial Function Benchmark Dataset";
68      defaultDataset.Description = "f(x) = x^4 + x^3 + x^2 + x^1";
69      defaultAllowedInputVariables = new List<string>() { "x", "y" };
70    }
71    #endregion
72
73    [StorableConstructor]
74    private ClusteringProblemData(bool deserializing) : base(deserializing) { }
75    [StorableHook(HookType.AfterDeserialization)]
76    private void AfterDeserialization() {
77    }
78
79
80    private ClusteringProblemData(ClusteringProblemData original, Cloner cloner)
81      : base(original, cloner) {
82    }
83    public override IDeepCloneable Clone(Cloner cloner) { return new ClusteringProblemData(this, cloner); }
84
85    public ClusteringProblemData()
86      : this(defaultDataset, defaultAllowedInputVariables) {
87    }
88
89    public ClusteringProblemData(Dataset dataset, IEnumerable<string> allowedInputVariables, IEnumerable<ITransformation> transformations = null)
90      : base(dataset, allowedInputVariables, transformations ?? Enumerable.Empty<ITransformation>()) {
91    }
92  }
93}
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