[15847] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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| 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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[15884] | 22 | using System;
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[15847] | 23 | using System.Collections.Generic;
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| 24 | using System.Linq;
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| 25 | using HeuristicLab.Common;
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| 26 | using HeuristicLab.Core;
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| 27 | using HeuristicLab.Data;
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| 28 | using HeuristicLab.Parameters;
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| 29 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 30 |
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| 31 | namespace HeuristicLab.Problems.DataAnalysis {
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| 32 | [Item("Linear", "Linear transformation x' = slope * x + intercept")]
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| 33 | [StorableClass]
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| 34 | public class LinearTransformation : Transformation<double> {
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| 35 |
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| 36 | #region Parameters
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| 37 | private FixedValueParameter<DoubleValue> SlopeParameter {
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| 38 | get { return (FixedValueParameter<DoubleValue>)Parameters["Slope"]; }
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| 39 | }
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| 40 |
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| 41 | private FixedValueParameter<DoubleValue> InterceptParameter {
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| 42 | get { return (FixedValueParameter<DoubleValue>)Parameters["Intercept"]; }
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| 43 | }
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| 44 | #endregion
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| 45 |
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| 46 | #region Properties
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| 47 | public double Slope {
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| 48 | get { return SlopeParameter.Value.Value; }
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[15884] | 49 | set { SlopeParameter.Value.Value = value; }
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[15847] | 50 | }
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| 51 |
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| 52 | public double Intercept {
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| 53 | get { return InterceptParameter.Value.Value; }
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| 54 | set { InterceptParameter.Value.Value = value; }
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| 55 | }
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| 56 | #endregion
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| 57 |
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| 58 | #region Constructor, Cloning & Persistence
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| 59 | public LinearTransformation()
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| 60 | : base() {
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| 61 | Parameters.Add(new FixedValueParameter<DoubleValue>("Slope", "Slope (multiplicative factor)", new DoubleValue(1.0)));
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| 62 | Parameters.Add(new FixedValueParameter<DoubleValue>("Intercept", "Intercept (additive factor)", new DoubleValue(0.0)));
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| 63 | }
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| 64 |
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| 65 | protected LinearTransformation(LinearTransformation original, Cloner cloner)
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| 66 | : base(original, cloner) {
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| 67 | }
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| 68 | public override IDeepCloneable Clone(Cloner cloner) {
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| 69 | return new LinearTransformation(this, cloner);
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| 70 | }
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| 71 |
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| 72 | [StorableConstructor]
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| 73 | protected LinearTransformation(bool deserializing)
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| 74 | : base(deserializing) {
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| 75 | }
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| 76 | #endregion
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| 77 |
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| 78 | public override IEnumerable<double> Apply(IEnumerable<double> data) {
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| 79 | return Apply(data, Slope, Intercept);
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| 80 | }
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| 81 |
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| 82 | public override IEnumerable<double> InverseApply(IEnumerable<double> data) {
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| 83 | return InverseApply(data, Slope, Intercept);
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| 84 | }
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| 85 |
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| 86 |
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| 87 | public static IEnumerable<double> Apply(IEnumerable<double> data, double slope = 1.0, double intercept = 0.0) {
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[15884] | 88 | if (slope.IsAlmost(0.0))
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| 89 | throw new InvalidOperationException($"Cannot transform with a {nameof(slope)} of zero because inverse transformation would be invalid.");
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| 90 |
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[15847] | 91 | return data.Select(x => slope * x + intercept);
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| 92 | }
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| 93 |
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| 94 | public static IEnumerable<double> InverseApply(IEnumerable<double> data, double slope = 1.0, double intercept = 0.0) {
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[15884] | 95 | if (slope.IsAlmost(0.0))
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| 96 | throw new InvalidOperationException($"Cannot inverse transform with a {nameof(slope)} of zero.");
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| 97 |
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[15847] | 98 | return data.Select(x => (x - intercept) / slope);
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| 99 | }
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| 100 | }
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| 101 | } |
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