#region License Information /* HeuristicLab * Copyright (C) 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; using HEAL.Attic; namespace HeuristicLab.DataPreprocessing { [StorableType("1fd88253-ae07-415f-81df-5b73c61fd495")] public interface IPreprocessingData : INamedItem { #region Cells bool IsCellEmpty(int columnIndex, int rowIndex); T GetCell(int columnIndex, int rowIndex); void SetCell(int columnIndex, int rowIndex, T value); string GetCellAsString(int columnIndex, int rowIndex); IList GetValues(int columnIndex, bool considerSelection = false); void SetValues(int columnIndex, IList values); bool SetValue(string value, int columnIndex, int rowIndex); int Columns { get; } int Rows { get; } #endregion #region Rows void InsertRow(int rowIndex); void DeleteRow(int rowIndex); void DeleteRowsWithIndices(IEnumerable rows); void InsertColumn(string variableName, int columnIndex); void DeleteColumn(int columnIndex); void RenameColumn(int columnIndex, string name); void RenameColumns(IList names); bool AreAllStringColumns(IEnumerable columnIndices); #endregion #region Variables IEnumerable VariableNames { get; } IEnumerable GetDoubleVariableNames(); string GetVariableName(int columnIndex); int GetColumnIndex(string variableName); bool VariableHasType(int columnIndex); Type GetVariableType(int columnIndex); IList InputVariables { get; } string TargetVariable { get; } // optional #endregion #region Partitions IntRange TrainingPartition { get; } IntRange TestPartition { get; } #endregion #region Transformations IList Transformations { get; } #endregion #region Validation bool Validate(string value, out string errorMessage, int columnIndex); #endregion #region Import & Export void Import(IDataAnalysisProblemData problemData); Dataset ExportToDataset(); #endregion #region Selection IDictionary> Selection { get; set; } void ClearSelection(); event EventHandler SelectionChanged; #endregion #region Transactions event DataPreprocessingChangedEventHandler Changed; bool IsUndoAvailable { get; } void Undo(); void InTransaction(Action action, DataPreprocessingChangedEventType type = DataPreprocessingChangedEventType.Any); void BeginTransaction(DataPreprocessingChangedEventType type); void EndTransaction(); #endregion #region Statistics T GetMin(int columnIndex, bool considerSelection = false, T emptyValue = default(T)); T GetMax(int columnIndex, bool considerSelection = false, T emptyValue = default(T)); T GetMean(int columnIndex, bool considerSelection = false, T emptyValue = default(T)); T GetMedian(int columnIndex, bool considerSelection = false, T emptyValue = default(T)) where T : IComparable; T GetMode(int columnIndex, bool considerSelection = false, T emptyValue = default(T)) where T : IEquatable; T GetStandardDeviation(int columnIndex, bool considerSelection = false, T emptyValue = default(T)); T GetVariance(int columnIndex, bool considerSelection = false, T emptyValue = default(T)); T GetQuantile(double alpha, int columnIndex, bool considerSelection = false, T emptyValue = default(T)) where T : IComparable; int GetDistinctValues(int columnIndex, bool considerSelection = false); int GetMissingValueCount(); int GetMissingValueCount(int columnIndex); int GetRowMissingValueCount(int rowIndex); #endregion } }