#region License Information
/* HeuristicLab
* Copyright (C) 2002-2018 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.Collections.Generic;
using System.Drawing;
using System.Linq;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.Problems.DataAnalysis;
namespace HeuristicLab.DataPreprocessing {
[Item("Transformation", "Represents the transformation grid.")]
[StorableClass]
public class TransformationContent : PreprocessingContent, IViewShortcut {
public static new Image StaticItemImage {
get { return HeuristicLab.Common.Resources.VSImageLibrary.Method; }
}
[Storable]
public IItemList TransformationList { get; private set; }
#region Constructor, Cloning & Persistence
public TransformationContent(IFilteredPreprocessingData preprocessingData)
: base(preprocessingData) {
TransformationList = new ItemList();
}
public TransformationContent(TransformationContent original, Cloner cloner)
: base(original, cloner) {
TransformationList = cloner.Clone(original.TransformationList);
}
public override IDeepCloneable Clone(Cloner cloner) {
return new TransformationContent(this, cloner);
}
[StorableConstructor]
protected TransformationContent(bool deserializing)
: base(deserializing) { }
#endregion
public bool ApplyTransformations(out IEnumerable errorMessages) {
bool success = true;
var errors = new List();
errorMessages = errors;
foreach (var transformation in TransformationList.Where(x => !x.IsApplied)) {
var sourceVariable = transformation.OriginalVariable;
var targetVariable = transformation.TransformedVariable ?? sourceVariable + " Transformed";
var sourceIdx = PreprocessingData.GetColumnIndex(sourceVariable);
if (transformation.Transformation is ITransformation trans && PreprocessingData.VariableHasType(sourceIdx)) {
if (!PreprocessingData.VariableNames.Contains(targetVariable))
PreprocessingData.InsertColumn(targetVariable, PreprocessingData.Columns);
var targetIdx = PreprocessingData.GetColumnIndex(targetVariable);
if (!PreprocessingData.VariableHasType(targetIdx)) { success = false; errors.Add("Target column is not double."); continue; }
var sourceData = PreprocessingData.GetValues(sourceIdx);
if (!trans.Check(sourceData, out string msg)) { success = false; errors.Add(msg); continue; }
trans.Configure(sourceData);
var transformedData = trans.Apply(sourceData).ToList();
PreprocessingData.SetValues(targetIdx, transformedData);
PreprocessingData.Transformations.Add(transformation);
transformation.IsApplied = true;
// TODO: remove unused valid values in constrainedParameters
} else {
success = false;
errors.Add("Transformation datatype is not supported.");
}
}
return success;
}
}
}