#region License Information /* HeuristicLab * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL) * * This file is part of HeuristicLab. * * HeuristicLab is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * HeuristicLab is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with HeuristicLab. If not, see . */ #endregion using System; using System.Collections.Generic; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Problems.DataAnalysis; namespace HeuristicLab.DataPreprocessing { public interface IPreprocessingData : INamedItem { T GetCell(int columnIndex, int rowIndex); void SetCell(int columnIndex, int rowIndex, T value); string GetCellAsString(int columnIndex, int rowIndex); [Obsolete("use the index based variant, is faster")] IList GetValues(string variableName, bool considerSelection = false); IList GetValues(int columnIndex, bool considerSelection = false); void SetValues(int columnIndex, IList values); bool SetValue(string value, int columnIndex, int rowIndex); void InsertRow(int rowIndex); void DeleteRow(int rowIndex); void DeleteRowsWithIndices(IEnumerable rows); void InsertColumn(string variableName, int columnIndex); void DeleteColumn(int columnIndex); bool AreAllStringColumns(IEnumerable columnIndices); bool Validate(string value, out string errorMessage, int columnIndex); IntRange TrainingPartition { get; } IntRange TestPartition { get; } IList Transformations { get; } IEnumerable VariableNames { get; } IEnumerable GetDoubleVariableNames(); string GetVariableName(int columnIndex); int GetColumnIndex(string variableName); bool VariableHasType(int columnIndex); int Columns { get; } int Rows { get; } Dataset ExportToDataset(); IDictionary> Selection { get; set; } void ClearSelection(); event EventHandler SelectionChanged; } }