#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.Linq; using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Parameters; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Problems.DataAnalysis { [Item("Linear", "Linear transformation x' = slope * x + intercept")] [StorableClass] public class LinearTransformation : Transformation { #region Parameters private FixedValueParameter SlopeParameter { get { return (FixedValueParameter)Parameters["Slope"]; } } private FixedValueParameter InterceptParameter { get { return (FixedValueParameter)Parameters["Intercept"]; } } #endregion #region Properties public double Slope { get { return SlopeParameter.Value.Value; } set { SlopeParameter.Value.Value = value; } //TODO: check for != 0? } public double Intercept { get { return InterceptParameter.Value.Value; } set { InterceptParameter.Value.Value = value; } } #endregion #region Constructor, Cloning & Persistence public LinearTransformation() : base() { Parameters.Add(new FixedValueParameter("Slope", "Slope (multiplicative factor)", new DoubleValue(1.0))); Parameters.Add(new FixedValueParameter("Intercept", "Intercept (additive factor)", new DoubleValue(0.0))); } protected LinearTransformation(LinearTransformation original, Cloner cloner) : base(original, cloner) { } public override IDeepCloneable Clone(Cloner cloner) { return new LinearTransformation(this, cloner); } [StorableConstructor] protected LinearTransformation(bool deserializing) : base(deserializing) { } #endregion public override IEnumerable Apply(IEnumerable data) { return Apply(data, Slope, Intercept); } public override IEnumerable InverseApply(IEnumerable data) { return InverseApply(data, Slope, Intercept); } public static IEnumerable Apply(IEnumerable data, double slope = 1.0, double intercept = 0.0) { return data.Select(x => slope * x + intercept); } public static IEnumerable InverseApply(IEnumerable data, double slope = 1.0, double intercept = 0.0) { return data.Select(x => (x - intercept) / slope); } } }