#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;
}
}