1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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4 | *
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5 | * This file is part of HeuristicLab.
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6 | *
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7 | * HeuristicLab is free software: you can redistribute it and/or modify
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8 | * it under the terms of the GNU General Public License as published by
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9 | * the Free Software Foundation, either version 3 of the License, or
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10 | * (at your option) any later version.
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11 | *
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12 | * HeuristicLab is distributed in the hope that it will be useful,
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13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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15 | * GNU General Public License for more details.
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16 | *
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17 | * You should have received a copy of the GNU General Public License
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18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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19 | */
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20 | #endregion
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21 |
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22 | using System;
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23 | using System.Collections;
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24 | using System.Collections.Generic;
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25 | using System.IO;
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26 | using System.Linq;
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27 | using System.Text;
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28 |
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29 | namespace HeuristicLab.Problems.Instances.Classification {
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30 | public abstract class ClassificationInstanceProvider : IProblemInstanceProvider<ClassificationData> {
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31 | public ClassificationData LoadData(string path) {
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32 | TableFileParser csvFileParser = new TableFileParser();
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33 | csvFileParser.Parse(path);
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34 |
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35 | ClassificationData claData = new ClassificationData();
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36 | int pos = path.LastIndexOf('\\');
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37 | if (pos < 0)
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38 | claData.Name = path;
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39 | else {
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40 | pos++;
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41 | claData.Name = path.Substring(pos, path.Length - pos);
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42 | }
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43 | claData.InputVariables = new List<string>(csvFileParser.VariableNames).ToArray();
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44 | claData.TargetVariable = csvFileParser.VariableNames.Last();
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45 | claData.AllowedInputVariables = claData.InputVariables.Where(x => !x.Equals(claData.TargetVariable)).ToArray();
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46 | //convert to multidimensional array
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47 | List<IList> values = csvFileParser.Values;
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48 | claData.Values = new double[values.First().Count, values.Count];
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49 | for (int i = 0; i < values.Count; i++) {
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50 | for (int j = 0; j < values.First().Count; j++) {
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51 | claData.Values[j, i] = (double)values[i][j];
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52 | }
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53 | }
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54 |
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55 | int trainingPartEnd = csvFileParser.Rows * 2 / 3;
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56 | claData.TrainingPartitionStart = 0;
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57 | claData.TrainingPartitionEnd = trainingPartEnd;
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58 | claData.TestPartitionStart = trainingPartEnd;
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59 | claData.TestPartitionEnd = csvFileParser.Rows;
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60 | return claData;
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61 | }
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62 |
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63 | public void SaveData(ClassificationData instance, string path) {
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64 | StringBuilder strBuilder = new StringBuilder();
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65 |
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66 | foreach (var variable in instance.InputVariables) {
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67 | strBuilder.Append(variable + ";");
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68 | }
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69 | strBuilder.Remove(strBuilder.Length - 1, 1);
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70 | strBuilder.AppendLine();
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71 |
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72 | double[,] values = instance.Values;
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73 |
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74 | for (int i = 0; i < values.GetLength(0); i++) {
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75 | for (int j = 0; j < values.GetLength(1); j++) {
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76 | strBuilder.Append(values[i, j] + ";");
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77 | }
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78 | strBuilder.Remove(strBuilder.Length - 1, 1);
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79 | strBuilder.AppendLine();
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80 | }
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81 |
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82 | using (StreamWriter writer = new StreamWriter(path)) {
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83 | writer.Write(strBuilder);
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84 | }
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85 | }
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86 |
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87 | public abstract IEnumerable<IDataDescriptor> GetDataDescriptors();
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88 | public abstract ClassificationData LoadData(IDataDescriptor descriptor);
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89 |
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90 | public abstract string Name { get; }
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91 | public abstract string Description { get; }
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92 | public abstract Uri WebLink { get; }
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93 | public abstract string ReferencePublication { get; }
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94 |
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95 | public IProblemInstanceConsumer<ClassificationData> Consumer { get; set; }
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96 | }
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97 | }
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