#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;
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 {
[StorableClass]
[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 override string ShortName {
get { return "Lin"; }
}
public double Multiplier {
get { return MultiplierParameter.Value.Value; }
set {
MultiplierParameter.Value.Value = value;
}
}
public double Addend {
get { return AddendParameter.Value.Value; }
set {
AddendParameter.Value.Value = value;
}
}
#endregion
[StorableConstructor]
protected LinearTransformation(bool deserializing) : base(deserializing) { }
protected LinearTransformation(LinearTransformation 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) {
var m = Multiplier;
var a = Addend;
return data.Select(e => e * m + a);
}
public override bool Check(IEnumerable data, out string errorMsg) {
errorMsg = null;
if (Multiplier.IsAlmost(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;
}
}
}