#region License Information /* HeuristicLab * Copyright (C) 2002-2013 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 System.Linq; using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Parameters; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Problems.DataAnalysis.Transformations { [Item("Linear Transformation", "f(x) = k * x + d | Represents a linear transformation with multiplication and addition.")] public class LinearTransformation : Transformation { protected const string MultiplierParameterName = "Multiplier"; protected const string AddendParameterName = "Addend"; #region Parameters public IValueParameter MultiplierParameter { get { return (IValueParameter)Parameters[MultiplierParameterName]; } } public IValueParameter AddendParameter { get { return (IValueParameter)Parameters[AddendParameterName]; } } #endregion #region properties public double Multiplier { get { return MultiplierParameter.Value.Value; } protected set { MultiplierParameter.Value.Value = value; } } public double Addend { get { return AddendParameter.Value.Value; } protected set { AddendParameter.Value.Value = value; } } #endregion [StorableConstructor] protected LinearTransformation(bool deserializing) : base(deserializing) { } protected LinearTransformation(Transformation original, Cloner cloner) : base(original, cloner) { } public LinearTransformation(IEnumerable allowedColumns) : base(allowedColumns) { Parameters.Add(new ValueParameter(MultiplierParameterName, "k | Multiplier for linear transformation", new DoubleValue(1.0))); Parameters.Add(new ValueParameter(AddendParameterName, "d | Addend for linear transformation", new DoubleValue(0.0))); } public override IDeepCloneable Clone(Cloner cloner) { return new LinearTransformation(this, cloner); } public override IEnumerable Apply(IEnumerable data) { return data.Select(e => e * Multiplier + Addend); } public override bool Check(IEnumerable data, out string errorMsg) { errorMsg = null; if (Multiplier == 0.0) { errorMsg = String.Format("Multiplicand is 0, all {0} entries will be set to {1}. Inverse apply will not be possible (division by 0).", data.Count(), Addend); return false; } return true; } } }