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source: branches/DataPreprocessing/HeuristicLab.DataPreprocessing/3.3/Interfaces/IPreprocessingData.cs @ 10236

Last change on this file since 10236 was 10236, checked in by sbreuer, 11 years ago
  • moved missing value functionality to ISearchLogic
  • created IStringConvertibleMatrix implementation and DataGridContentView
File size: 1.8 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 HeuristicLab.Core;
24using HeuristicLab.Data;
25using HeuristicLab.Problems.DataAnalysis;
26
27namespace HeuristicLab.DataPreprocessing {
28
29  public interface IPreprocessingData : INamedItem {
30    T GetCell<T>(string variableName, int row);
31    void SetCell<T>(string variableName, int row, T value);
32    string GetCellAsString(string variableName, int row);
33
34    IEnumerable<T> GetValues<T>(string variableName);
35    void SetValues<T>(string variableName, IEnumerable<T> values);
36
37    void InsertRow(int rowIndex);
38    void DeleteRow(int rowIndex);
39
40    void InsertColumn<T>(string variableName, int columnIndex);
41    void DeleteColumn(string variableName);
42
43    IntRange TrainingPartition { get; }
44    IntRange TestPartition { get; }
45
46    IList<string> VariableNames { get; }
47    bool IsType<T>(string variableName);
48
49    int Columns { get; }
50    int Rows { get; }
51
52    Dataset ExportToDataset();
53  }
54}
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