| 1 | using System;
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| 2 | using HeuristicLab.Common;
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| 3 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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| 4 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 5 |
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| 6 | namespace HeuristicLab.Problems.GaussianProcessTuning {
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| 7 |
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| 8 | #region interfaces
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| 9 | public interface IDimensionSymbol : ISymbol {
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| 10 | int Dimension { get; set; }
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| 11 | }
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| 12 | #endregion
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| 13 |
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| 14 | [StorableClass]
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| 15 | public sealed class ConfigurationStartSymbol : Symbol {
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| 16 | public override int MinimumArity {
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| 17 | get { return 3; }
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| 18 | }
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| 19 | public override int MaximumArity {
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| 20 | get { return 3; }
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| 21 | }
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| 22 | [StorableConstructor]
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| 23 | private ConfigurationStartSymbol(bool deserializing) : base(deserializing) { }
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| 24 | private ConfigurationStartSymbol(ConfigurationStartSymbol original, Cloner cloner)
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| 25 | : base(original, cloner) {
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| 26 | }
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| 27 |
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| 28 | public ConfigurationStartSymbol()
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| 29 | : base("GP Configuration", "The start symbol for a GP configuration") {
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| 30 | }
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| 31 | [StorableHook(HookType.AfterDeserialization)]
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| 32 | private void AfterDeserialization() {
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| 33 | }
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| 34 | public override IDeepCloneable Clone(Cloner cloner) {
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| 35 | return new ConfigurationStartSymbol(this, cloner);
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| 36 | }
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| 37 | }
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| 38 |
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| 39 | #region mean function terminals
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| 40 | [StorableClass]
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| 41 | public sealed class MeanZero : Symbol {
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| 42 | public override int MinimumArity {
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| 43 | get { return 0; }
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| 44 | }
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| 45 | public override int MaximumArity {
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| 46 | get { return 0; }
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| 47 | }
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| 48 | [StorableConstructor]
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| 49 | private MeanZero(bool deserializing) : base(deserializing) { }
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| 50 | private MeanZero(MeanZero original, Cloner cloner)
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| 51 | : base(original, cloner) {
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| 52 | }
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| 53 |
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| 54 | public MeanZero()
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| 55 | : base("MeanZero", "Zero mean function") {
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| 56 | }
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| 57 | [StorableHook(HookType.AfterDeserialization)]
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| 58 | private void AfterDeserialization() {
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| 59 | }
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| 60 |
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| 61 | public override ISymbolicExpressionTreeNode CreateTreeNode() {
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| 62 | return new EmptyTerminalTreeNode(new MeanZero());
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| 63 | }
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| 64 | public override IDeepCloneable Clone(Cloner cloner) {
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| 65 | return new MeanZero(this, cloner);
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| 66 | }
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| 67 | }
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| 68 |
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| 69 | [StorableClass]
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| 70 | public sealed class MeanOne : Symbol {
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| 71 | public override int MinimumArity {
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| 72 | get { return 0; }
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| 73 | }
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| 74 | public override int MaximumArity {
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| 75 | get { return 0; }
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| 76 | }
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| 77 | [StorableConstructor]
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| 78 | private MeanOne(bool deserializing) : base(deserializing) { }
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| 79 | private MeanOne(MeanOne original, Cloner cloner)
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| 80 | : base(original, cloner) {
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| 81 | }
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| 82 |
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| 83 | public MeanOne()
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| 84 | : base("MeanOne", "One mean function") {
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| 85 | }
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| 86 | [StorableHook(HookType.AfterDeserialization)]
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| 87 | private void AfterDeserialization() {
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| 88 | }
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| 89 |
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| 90 | public override ISymbolicExpressionTreeNode CreateTreeNode() {
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| 91 | return new EmptyTerminalTreeNode(this);
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| 92 | }
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| 93 | public override IDeepCloneable Clone(Cloner cloner) {
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| 94 | return new MeanOne(this, cloner);
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| 95 | }
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| 96 | }
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| 97 |
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| 98 | [StorableClass]
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| 99 | public sealed class MeanConst : Symbol {
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| 100 | [Storable]
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| 101 | public double MinValue { get; set; }
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| 102 | [Storable]
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| 103 | public double MaxValue { get; set; }
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| 104 | [Storable]
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| 105 | public double ValueShakingMu { get; set; }
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| 106 | [Storable]
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| 107 | public double ValueShakingSigma { get; set; }
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| 108 |
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| 109 | public override int MinimumArity {
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| 110 | get { return 0; }
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| 111 | }
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| 112 | public override int MaximumArity {
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| 113 | get { return 0; }
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| 114 | }
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| 115 | [StorableConstructor]
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| 116 | private MeanConst(bool deserializing) : base(deserializing) { }
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| 117 | private MeanConst(MeanConst original, Cloner cloner)
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| 118 | : base(original, cloner) {
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| 119 | MinValue = original.MinValue;
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| 120 | MaxValue = original.MaxValue;
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| 121 | ValueShakingMu = original.ValueShakingMu;
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| 122 | ValueShakingSigma = original.ValueShakingSigma;
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| 123 | }
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| 124 |
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| 125 | public MeanConst()
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| 126 | : base("MeanConst", "Constant mean function") {
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| 127 | MinValue = -100.0;
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| 128 | MaxValue = 100.0;
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| 129 | ValueShakingMu = 1.0;
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| 130 | ValueShakingSigma = 1.0;
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| 131 | }
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| 132 | [StorableHook(HookType.AfterDeserialization)]
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| 133 | private void AfterDeserialization() {
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| 134 | }
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| 135 |
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| 136 | public override ISymbolicExpressionTreeNode CreateTreeNode() {
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| 137 | return new MeanConstTreeNode();
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| 138 | }
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| 139 | public override IDeepCloneable Clone(Cloner cloner) {
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| 140 | return new MeanConst(this, cloner);
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| 141 | }
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| 142 | }
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| 143 |
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| 144 | [StorableClass]
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| 145 | public sealed class MeanLinear : Symbol, IDimensionSymbol {
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| 146 | [Storable]
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| 147 | public double AlphaMu { get; set; }
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| 148 | [Storable]
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| 149 | public double AlphaSigma { get; set; }
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| 150 | [Storable]
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| 151 | public double AlphaShakingMu { get; set; }
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| 152 | [Storable]
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| 153 | public double AlphaShakingSigma { get; set; }
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| 154 |
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| 155 | public override int MinimumArity {
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| 156 | get { return 0; }
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| 157 | }
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| 158 | public override int MaximumArity {
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| 159 | get { return 0; }
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| 160 | }
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| 161 | [Storable]
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| 162 | public int Dimension { get; set; }
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| 163 |
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| 164 | [StorableConstructor]
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| 165 | private MeanLinear(bool deserializing) : base(deserializing) { }
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| 166 | private MeanLinear(MeanLinear original, Cloner cloner)
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| 167 | : base(original, cloner) {
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| 168 | Dimension = original.Dimension;
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| 169 | AlphaMu = original.AlphaMu;
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| 170 | AlphaSigma = original.AlphaSigma;
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| 171 | AlphaShakingMu = original.AlphaShakingMu;
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| 172 | AlphaShakingSigma = original.AlphaShakingSigma;
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| 173 | }
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| 174 |
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| 175 | public MeanLinear(int dimension)
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| 176 | : base("MeanLinear", "Linear mean function") {
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| 177 | this.Dimension = dimension;
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| 178 | AlphaMu = 0.0;
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| 179 | AlphaSigma = 1.0;
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| 180 | AlphaShakingMu = 1.0;
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| 181 | AlphaShakingSigma = 0.1;
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| 182 | }
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| 183 | [StorableHook(HookType.AfterDeserialization)]
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| 184 | private void AfterDeserialization() {
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| 185 | }
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| 186 |
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| 187 | public override ISymbolicExpressionTreeNode CreateTreeNode() {
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| 188 | return new MeanLinearTreeNode(this);
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| 189 | }
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| 190 | public override IDeepCloneable Clone(Cloner cloner) {
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| 191 | return new MeanLinear(this, cloner);
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| 192 | }
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| 193 | }
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| 194 | #endregion
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| 195 |
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| 196 | #region mean function functions
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| 197 | [StorableClass]
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| 198 | public sealed class MeanScale : Symbol {
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| 199 | [Storable]
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| 200 | public double AlphaMu { get; set; }
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| 201 | [Storable]
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| 202 | public double AlphaSigma { get; set; }
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| 203 | [Storable]
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| 204 | public double AlphaShakingMu { get; set; }
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| 205 | [Storable]
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| 206 | public double AlphaShakingSigma { get; set; }
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| 207 |
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| 208 | public override int MinimumArity {
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| 209 | get { return 1; }
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| 210 | }
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| 211 | public override int MaximumArity {
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| 212 | get { return 1; }
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| 213 | }
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| 214 |
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| 215 | [StorableConstructor]
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| 216 | private MeanScale(bool deserializing) : base(deserializing) { }
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| 217 | private MeanScale(MeanScale original, Cloner cloner)
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| 218 | : base(original, cloner) {
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| 219 | AlphaMu = original.AlphaMu;
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| 220 | AlphaSigma = original.AlphaSigma;
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| 221 | AlphaShakingMu = original.AlphaShakingMu;
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| 222 | AlphaShakingSigma = original.AlphaShakingSigma;
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| 223 | }
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| 224 |
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| 225 | public MeanScale()
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| 226 | : base("MeanScale", "Scaled version of a mean function") {
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| 227 | AlphaMu = 0.0;
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| 228 | AlphaSigma = 1.0;
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| 229 | AlphaShakingMu = 1.0;
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| 230 | AlphaShakingSigma = 1.0;
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| 231 | }
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| 232 | [StorableHook(HookType.AfterDeserialization)]
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| 233 | private void AfterDeserialization() {
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| 234 | }
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| 235 |
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| 236 | public override ISymbolicExpressionTreeNode CreateTreeNode() {
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| 237 | return new MeanScaleTreeNode();
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| 238 | }
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| 239 | public override IDeepCloneable Clone(Cloner cloner) {
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| 240 | return new MeanScale(this, cloner);
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| 241 | }
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| 242 | }
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| 243 |
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| 244 |
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| 245 | [StorableClass]
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| 246 | public sealed class MeanPow : Symbol {
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| 247 | [Storable]
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| 248 | public int Exponent { get; set; }
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| 249 | public override int MinimumArity {
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| 250 | get { return 1; }
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| 251 | }
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| 252 | public override int MaximumArity {
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| 253 | get { return 1; }
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| 254 | }
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| 255 |
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| 256 | [StorableConstructor]
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| 257 | private MeanPow(bool deserializing) : base(deserializing) { }
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| 258 | private MeanPow(MeanPow original, Cloner cloner)
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| 259 | : base(original, cloner) {
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| 260 | Exponent = original.Exponent;
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| 261 | }
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| 262 |
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| 263 | public MeanPow(int exponent = 2)
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| 264 | : base("MeanPow", "Power of a mean function") {
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| 265 | Exponent = exponent;
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| 266 | }
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| 267 | [StorableHook(HookType.AfterDeserialization)]
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| 268 | private void AfterDeserialization() {
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| 269 | }
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| 270 |
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| 271 | public override IDeepCloneable Clone(Cloner cloner) {
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| 272 | return new MeanPow(this, cloner);
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| 273 | }
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| 274 | }
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| 275 |
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| 276 | [StorableClass]
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| 277 | public sealed class MeanProd : Symbol {
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| 278 | public override int MinimumArity {
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| 279 | get { return 2; }
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| 280 | }
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| 281 | public override int MaximumArity {
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| 282 | get { return 2; }
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| 283 | }
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| 284 |
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| 285 | [StorableConstructor]
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| 286 | private MeanProd(bool deserializing) : base(deserializing) { }
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| 287 | private MeanProd(MeanProd original, Cloner cloner)
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| 288 | : base(original, cloner) {
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| 289 | }
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| 290 |
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| 291 | public MeanProd()
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| 292 | : base("MeanProd", "Product of two functions") {
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| 293 | }
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| 294 | [StorableHook(HookType.AfterDeserialization)]
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| 295 | private void AfterDeserialization() {
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| 296 | }
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| 297 |
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| 298 | public override IDeepCloneable Clone(Cloner cloner) {
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| 299 | return new MeanProd(this, cloner);
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| 300 | }
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| 301 | }
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| 302 |
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| 303 | [StorableClass]
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| 304 | public sealed class MeanSum : Symbol {
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| 305 | public override int MinimumArity {
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| 306 | get { return 2; }
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| 307 | }
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| 308 | public override int MaximumArity {
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| 309 | get { return 2; }
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| 310 | }
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| 311 |
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| 312 | [StorableConstructor]
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| 313 | private MeanSum(bool deserializing) : base(deserializing) { }
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| 314 | private MeanSum(MeanSum original, Cloner cloner)
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| 315 | : base(original, cloner) {
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| 316 | }
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| 317 |
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| 318 | public MeanSum()
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| 319 | : base("MeanSum", "Sum of two functions") {
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| 320 | }
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| 321 | [StorableHook(HookType.AfterDeserialization)]
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| 322 | private void AfterDeserialization() {
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| 323 | }
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| 324 |
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| 325 | public override IDeepCloneable Clone(Cloner cloner) {
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| 326 | return new MeanSum(this, cloner);
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| 327 | }
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| 328 | }
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| 329 |
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| 330 | [StorableClass]
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| 331 | public sealed class MeanMask : Symbol, IDimensionSymbol {
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| 332 | [Storable]
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| 333 | public double MaskingProbability { get; set; }
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| 334 |
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| 335 | public override int MinimumArity {
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| 336 | get { return 1; }
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| 337 | }
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| 338 | public override int MaximumArity {
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| 339 | get { return 1; }
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| 340 | }
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| 341 | [Storable]
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| 342 | public int Dimension { get; set; }
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| 343 |
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| 344 | [StorableConstructor]
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| 345 | private MeanMask(bool deserializing) : base(deserializing) { }
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| 346 | private MeanMask(MeanMask original, Cloner cloner)
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| 347 | : base(original, cloner) {
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| 348 | MaskingProbability = original.MaskingProbability;
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| 349 | Dimension = original.Dimension;
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| 350 | }
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| 351 |
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| 352 | public MeanMask(int dimension)
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| 353 | : base("MeanMask", "Mask some dimensions of the data") {
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| 354 | this.Dimension = dimension;
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| 355 | MaskingProbability = 0.2;
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| 356 | }
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| 357 | [StorableHook(HookType.AfterDeserialization)]
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| 358 | private void AfterDeserialization() {
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| 359 | }
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| 360 |
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| 361 | public override ISymbolicExpressionTreeNode CreateTreeNode() {
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| 362 | return new MeanMaskTreeNode(this);
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| 363 | }
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| 364 | public override IDeepCloneable Clone(Cloner cloner) {
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| 365 | return new MeanMask(this, cloner);
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| 366 | }
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| 367 | }
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| 368 |
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| 369 | #endregion
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| 370 |
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| 371 | #region covariance function terminals
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| 372 | [StorableClass]
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| 373 | public sealed class CovConst : Symbol {
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| 374 | [Storable]
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| 375 | public double MinSigma { get; set; }
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| 376 | [Storable]
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| 377 | public double MaxSigma { get; set; }
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| 378 | [Storable]
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| 379 | public double SigmaShakingMu { get; set; }
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| 380 | [Storable]
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| 381 | public double SigmaShakingSigma { get; set; }
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| 382 |
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| 383 | public override int MinimumArity {
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| 384 | get { return 0; }
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| 385 | }
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| 386 | public override int MaximumArity {
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| 387 | get { return 0; }
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| 388 | }
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| 389 | [StorableConstructor]
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| 390 | private CovConst(bool deserializing) : base(deserializing) { }
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| 391 | private CovConst(CovConst original, Cloner cloner)
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| 392 | : base(original, cloner) {
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| 393 | this.MaxSigma = original.MaxSigma;
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| 394 | this.MinSigma = original.MinSigma;
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| 395 | this.SigmaShakingMu = original.SigmaShakingMu;
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| 396 | this.SigmaShakingSigma = original.SigmaShakingSigma;
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| 397 | }
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| 398 |
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| 399 | public CovConst()
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| 400 | : base("CovConst", "Covariance for constant functions") {
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| 401 | MinSigma = 0.0;
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| 402 | MaxSigma = 100;
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| 403 | SigmaShakingMu = 1;
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| 404 | SigmaShakingSigma = 1;
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| 405 | }
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| 406 | [StorableHook(HookType.AfterDeserialization)]
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| 407 | private void AfterDeserialization() {
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| 408 | }
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| 409 |
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| 410 | public override ISymbolicExpressionTreeNode CreateTreeNode() {
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| 411 | return new CovConstTreeNode();
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| 412 | }
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| 413 | public override IDeepCloneable Clone(Cloner cloner) {
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| 414 | return new CovConst(this, cloner);
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| 415 | }
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| 416 | }
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| 417 |
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| 418 | [StorableClass]
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| 419 | public sealed class CovNoise : Symbol {
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| 420 | [Storable]
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| 421 | public double MinSigma { get; set; }
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| 422 | [Storable]
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| 423 | public double MaxSigma { get; set; }
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| 424 | [Storable]
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| 425 | public double SigmaShakingMu { get; set; }
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| 426 | [Storable]
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| 427 | public double SigmaShakingSigma { get; set; }
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| 428 |
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| 429 | public override int MinimumArity {
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| 430 | get { return 0; }
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| 431 | }
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| 432 | public override int MaximumArity {
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| 433 | get { return 0; }
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| 434 | }
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| 435 | [StorableConstructor]
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| 436 | private CovNoise(bool deserializing) : base(deserializing) { }
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| 437 | private CovNoise(CovNoise original, Cloner cloner)
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| 438 | : base(original, cloner) {
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| 439 | this.MaxSigma = original.MaxSigma;
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| 440 | this.MinSigma = original.MinSigma;
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| 441 | this.SigmaShakingMu = original.SigmaShakingMu;
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| 442 | this.SigmaShakingSigma = original.SigmaShakingSigma;
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| 443 | }
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| 444 |
|
|---|
| 445 | public CovNoise()
|
|---|
| 446 | : base("CovNoise", "Noise covariance function") {
|
|---|
| 447 | MinSigma = 0.0;
|
|---|
| 448 | MaxSigma = 100;
|
|---|
| 449 | SigmaShakingMu = 1;
|
|---|
| 450 | SigmaShakingSigma = 1;
|
|---|
| 451 | }
|
|---|
| 452 | [StorableHook(HookType.AfterDeserialization)]
|
|---|
| 453 | private void AfterDeserialization() {
|
|---|
| 454 | }
|
|---|
| 455 |
|
|---|
| 456 | public override ISymbolicExpressionTreeNode CreateTreeNode() {
|
|---|
| 457 | return new CovNoiseTreeNode();
|
|---|
| 458 | }
|
|---|
| 459 | public override IDeepCloneable Clone(Cloner cloner) {
|
|---|
| 460 | return new CovNoise(this, cloner);
|
|---|
| 461 | }
|
|---|
| 462 | }
|
|---|
| 463 |
|
|---|
| 464 | [StorableClass]
|
|---|
| 465 | public sealed class CovLin : Symbol {
|
|---|
| 466 | public override int MinimumArity {
|
|---|
| 467 | get { return 0; }
|
|---|
| 468 | }
|
|---|
| 469 | public override int MaximumArity {
|
|---|
| 470 | get { return 0; }
|
|---|
| 471 | }
|
|---|
| 472 | [StorableConstructor]
|
|---|
| 473 | private CovLin(bool deserializing) : base(deserializing) { }
|
|---|
| 474 | private CovLin(CovLin original, Cloner cloner)
|
|---|
| 475 | : base(original, cloner) {
|
|---|
| 476 | }
|
|---|
| 477 |
|
|---|
| 478 | public CovLin()
|
|---|
| 479 | : base("CovLin", "linear covariance function") {
|
|---|
| 480 | }
|
|---|
| 481 | [StorableHook(HookType.AfterDeserialization)]
|
|---|
| 482 | private void AfterDeserialization() {
|
|---|
| 483 | }
|
|---|
| 484 |
|
|---|
| 485 | public override ISymbolicExpressionTreeNode CreateTreeNode() {
|
|---|
| 486 | return new EmptyTerminalTreeNode(this);
|
|---|
| 487 | }
|
|---|
| 488 | public override IDeepCloneable Clone(Cloner cloner) {
|
|---|
| 489 | return new CovLin(this, cloner);
|
|---|
| 490 | }
|
|---|
| 491 | }
|
|---|
| 492 | [StorableClass]
|
|---|
| 493 | public sealed class CovLinArd : Symbol, IDimensionSymbol {
|
|---|
| 494 | [Storable]
|
|---|
| 495 | public double LambdaMu { get; set; }
|
|---|
| 496 | [Storable]
|
|---|
| 497 | public double LambdaSigma { get; set; }
|
|---|
| 498 | [Storable]
|
|---|
| 499 | public double LambdaShakingMu { get; set; }
|
|---|
| 500 | [Storable]
|
|---|
| 501 | public double LambdaShakingSigma { get; set; }
|
|---|
| 502 | public override int MinimumArity {
|
|---|
| 503 | get { return 0; }
|
|---|
| 504 | }
|
|---|
| 505 | public override int MaximumArity {
|
|---|
| 506 | get { return 0; }
|
|---|
| 507 | }
|
|---|
| 508 |
|
|---|
| 509 | [Storable]
|
|---|
| 510 | public int Dimension { get; set; }
|
|---|
| 511 |
|
|---|
| 512 | [StorableConstructor]
|
|---|
| 513 | private CovLinArd(bool deserializing) : base(deserializing) { }
|
|---|
| 514 | private CovLinArd(CovLinArd original, Cloner cloner)
|
|---|
| 515 | : base(original, cloner) {
|
|---|
| 516 | Dimension = original.Dimension;
|
|---|
| 517 | LambdaMu = original.LambdaMu;
|
|---|
| 518 | LambdaSigma = original.LambdaSigma;
|
|---|
| 519 | LambdaShakingMu = original.LambdaShakingMu;
|
|---|
| 520 | LambdaShakingSigma = original.LambdaShakingSigma;
|
|---|
| 521 | }
|
|---|
| 522 |
|
|---|
| 523 | public CovLinArd(int dimension)
|
|---|
| 524 | : base("CovLinArd", "linear covariance function with ARD") {
|
|---|
| 525 | this.Dimension = dimension;
|
|---|
| 526 | LambdaMu = 0.0;
|
|---|
| 527 | LambdaSigma = 1.0;
|
|---|
| 528 | LambdaShakingMu = 1.0;
|
|---|
| 529 | LambdaShakingSigma = 0.1;
|
|---|
| 530 | }
|
|---|
| 531 | [StorableHook(HookType.AfterDeserialization)]
|
|---|
| 532 | private void AfterDeserialization() {
|
|---|
| 533 | }
|
|---|
| 534 |
|
|---|
| 535 | public override ISymbolicExpressionTreeNode CreateTreeNode() {
|
|---|
| 536 | return new CovLinArdTreeNode(this);
|
|---|
| 537 | }
|
|---|
| 538 | public override IDeepCloneable Clone(Cloner cloner) {
|
|---|
| 539 | return new CovLinArd(this, cloner);
|
|---|
| 540 | }
|
|---|
| 541 | }
|
|---|
| 542 | [StorableClass]
|
|---|
| 543 | public sealed class CovSeArd : Symbol, IDimensionSymbol {
|
|---|
| 544 | [Storable]
|
|---|
| 545 | public double LambdaMu { get; set; }
|
|---|
| 546 | [Storable]
|
|---|
| 547 | public double LambdaSigma { get; set; }
|
|---|
| 548 | [Storable]
|
|---|
| 549 | public double LambdaShakingMu { get; set; }
|
|---|
| 550 | [Storable]
|
|---|
| 551 | public double LambdaShakingSigma { get; set; }
|
|---|
| 552 | [Storable]
|
|---|
| 553 | public double MinSigma { get; set; }
|
|---|
| 554 | [Storable]
|
|---|
| 555 | public double MaxSigma { get; set; }
|
|---|
| 556 | [Storable]
|
|---|
| 557 | public double SigmaShakingMu { get; set; }
|
|---|
| 558 | [Storable]
|
|---|
| 559 | public double SigmaShakingSigma { get; set; }
|
|---|
| 560 |
|
|---|
| 561 | public override int MinimumArity {
|
|---|
| 562 | get { return 0; }
|
|---|
| 563 | }
|
|---|
| 564 | public override int MaximumArity {
|
|---|
| 565 | get { return 0; }
|
|---|
| 566 | }
|
|---|
| 567 |
|
|---|
| 568 | [Storable]
|
|---|
| 569 | public int Dimension { get; set; }
|
|---|
| 570 |
|
|---|
| 571 | [StorableConstructor]
|
|---|
| 572 | private CovSeArd(bool deserializing) : base(deserializing) { }
|
|---|
| 573 | private CovSeArd(CovSeArd original, Cloner cloner)
|
|---|
| 574 | : base(original, cloner) {
|
|---|
| 575 | Dimension = original.Dimension;
|
|---|
| 576 | LambdaMu = original.LambdaMu;
|
|---|
| 577 | LambdaSigma = original.LambdaSigma;
|
|---|
| 578 | LambdaShakingMu = original.LambdaShakingMu;
|
|---|
| 579 | LambdaShakingSigma = original.LambdaShakingSigma;
|
|---|
| 580 | MinSigma = original.MinSigma;
|
|---|
| 581 | MaxSigma = original.MaxSigma;
|
|---|
| 582 | SigmaShakingMu = original.SigmaShakingMu;
|
|---|
| 583 | SigmaShakingSigma = original.SigmaShakingSigma;
|
|---|
| 584 | }
|
|---|
| 585 |
|
|---|
| 586 | public CovSeArd(int dimension)
|
|---|
| 587 | : base("CovSeArd", "full squared exponential covariance function with ARD") {
|
|---|
| 588 | this.Dimension = dimension;
|
|---|
| 589 | LambdaMu = 0.0;
|
|---|
| 590 | LambdaSigma = 1.0;
|
|---|
| 591 | LambdaShakingMu = 1.0;
|
|---|
| 592 | LambdaShakingSigma = 0.1;
|
|---|
| 593 | MinSigma = 0.0;
|
|---|
| 594 | MaxSigma = 100.0;
|
|---|
| 595 | SigmaShakingMu = 1.0;
|
|---|
| 596 | SigmaShakingSigma = 1.0;
|
|---|
| 597 | }
|
|---|
| 598 | [StorableHook(HookType.AfterDeserialization)]
|
|---|
| 599 | private void AfterDeserialization() {
|
|---|
| 600 | }
|
|---|
| 601 |
|
|---|
| 602 | public override ISymbolicExpressionTreeNode CreateTreeNode() {
|
|---|
| 603 | return new CovSeArdTreeNode(this);
|
|---|
| 604 | }
|
|---|
| 605 | public override IDeepCloneable Clone(Cloner cloner) {
|
|---|
| 606 | return new CovSeArd(this, cloner);
|
|---|
| 607 | }
|
|---|
| 608 | }
|
|---|
| 609 | [StorableClass]
|
|---|
| 610 | public sealed class CovSeIso : Symbol {
|
|---|
| 611 | [Storable]
|
|---|
| 612 | public double MinSigma { get; set; }
|
|---|
| 613 | [Storable]
|
|---|
| 614 | public double MaxSigma { get; set; }
|
|---|
| 615 | [Storable]
|
|---|
| 616 | public double SigmaShakingMu { get; set; }
|
|---|
| 617 | [Storable]
|
|---|
| 618 | public double SigmaShakingSigma { get; set; }
|
|---|
| 619 | [Storable]
|
|---|
| 620 | public double MinL { get; set; }
|
|---|
| 621 | [Storable]
|
|---|
| 622 | public double MaxL { get; set; }
|
|---|
| 623 | [Storable]
|
|---|
| 624 | public double LShakingMu { get; set; }
|
|---|
| 625 | [Storable]
|
|---|
| 626 | public double LShakingSigma { get; set; }
|
|---|
| 627 |
|
|---|
| 628 | public override int MinimumArity {
|
|---|
| 629 | get { return 0; }
|
|---|
| 630 | }
|
|---|
| 631 | public override int MaximumArity {
|
|---|
| 632 | get { return 0; }
|
|---|
| 633 | }
|
|---|
| 634 |
|
|---|
| 635 | [StorableConstructor]
|
|---|
| 636 | private CovSeIso(bool deserializing) : base(deserializing) { }
|
|---|
| 637 | private CovSeIso(CovSeIso original, Cloner cloner)
|
|---|
| 638 | : base(original, cloner) {
|
|---|
| 639 | MinSigma = original.MinSigma;
|
|---|
| 640 | MaxSigma = original.MaxSigma;
|
|---|
| 641 | SigmaShakingMu = original.SigmaShakingMu;
|
|---|
| 642 | SigmaShakingSigma = original.SigmaShakingSigma;
|
|---|
| 643 | MinL = original.MinL;
|
|---|
| 644 | MaxL = original.MaxL;
|
|---|
| 645 | LShakingMu = original.LShakingMu;
|
|---|
| 646 | LShakingSigma = original.LShakingSigma;
|
|---|
| 647 | }
|
|---|
| 648 |
|
|---|
| 649 | public CovSeIso()
|
|---|
| 650 | : base("CovSeIso", "diagonal squared exponential covariance function") {
|
|---|
| 651 | MinSigma = 1.0;
|
|---|
| 652 | MaxSigma = 100.0;
|
|---|
| 653 | SigmaShakingMu = 1.0;
|
|---|
| 654 | SigmaShakingSigma = 1.0;
|
|---|
| 655 | MinL = 1.0;
|
|---|
| 656 | MaxL = 100.0;
|
|---|
| 657 | LShakingMu = 1.0;
|
|---|
| 658 | LShakingSigma = 1.0;
|
|---|
| 659 | }
|
|---|
| 660 | [StorableHook(HookType.AfterDeserialization)]
|
|---|
| 661 | private void AfterDeserialization() {
|
|---|
| 662 | }
|
|---|
| 663 |
|
|---|
| 664 | public override ISymbolicExpressionTreeNode CreateTreeNode() {
|
|---|
| 665 | return new CovSeIsoTreeNode(this);
|
|---|
| 666 | }
|
|---|
| 667 | public override IDeepCloneable Clone(Cloner cloner) {
|
|---|
| 668 | return new CovSeIso(this, cloner);
|
|---|
| 669 | }
|
|---|
| 670 | }
|
|---|
| 671 |
|
|---|
| 672 | [StorableClass]
|
|---|
| 673 | public sealed class CovMatern : Symbol {
|
|---|
| 674 | [Storable]
|
|---|
| 675 | public double MinSigma { get; set; }
|
|---|
| 676 | [Storable]
|
|---|
| 677 | public double MaxSigma { get; set; }
|
|---|
| 678 | [Storable]
|
|---|
| 679 | public double SigmaShakingMu { get; set; }
|
|---|
| 680 | [Storable]
|
|---|
| 681 | public double SigmaShakingSigma { get; set; }
|
|---|
| 682 | [Storable]
|
|---|
| 683 | public double MinL { get; set; }
|
|---|
| 684 | [Storable]
|
|---|
| 685 | public double MaxL { get; set; }
|
|---|
| 686 | [Storable]
|
|---|
| 687 | public double LShakingMu { get; set; }
|
|---|
| 688 | [Storable]
|
|---|
| 689 | public double LShakingSigma { get; set; }
|
|---|
| 690 |
|
|---|
| 691 | [Storable]
|
|---|
| 692 | public int D { get; set; }
|
|---|
| 693 |
|
|---|
| 694 | public override int MinimumArity {
|
|---|
| 695 | get { return 0; }
|
|---|
| 696 | }
|
|---|
| 697 | public override int MaximumArity {
|
|---|
| 698 | get { return 0; }
|
|---|
| 699 | }
|
|---|
| 700 |
|
|---|
| 701 | [StorableConstructor]
|
|---|
| 702 | private CovMatern(bool deserializing) : base(deserializing) { }
|
|---|
| 703 | private CovMatern(CovMatern original, Cloner cloner)
|
|---|
| 704 | : base(original, cloner) {
|
|---|
| 705 | MinSigma = original.MinSigma;
|
|---|
| 706 | MaxSigma = original.MaxSigma;
|
|---|
| 707 | SigmaShakingMu = original.SigmaShakingMu;
|
|---|
| 708 | SigmaShakingSigma = original.SigmaShakingSigma;
|
|---|
| 709 | MinL = original.MinL;
|
|---|
| 710 | MaxL = original.MaxL;
|
|---|
| 711 | LShakingMu = original.LShakingMu;
|
|---|
| 712 | LShakingSigma = original.LShakingSigma;
|
|---|
| 713 | D = original.D;
|
|---|
| 714 | }
|
|---|
| 715 |
|
|---|
| 716 | public CovMatern(int d)
|
|---|
| 717 | : base("CovMatern", "Matern covariance function") {
|
|---|
| 718 | MinSigma = 1.0;
|
|---|
| 719 | MaxSigma = 100.0;
|
|---|
| 720 | SigmaShakingMu = 1.0;
|
|---|
| 721 | SigmaShakingSigma = 1.0;
|
|---|
| 722 | MinL = 1.0;
|
|---|
| 723 | MaxL = 100.0;
|
|---|
| 724 | LShakingMu = 1.0;
|
|---|
| 725 | LShakingSigma = 1.0;
|
|---|
| 726 | this.D = d;
|
|---|
| 727 | }
|
|---|
| 728 | [StorableHook(HookType.AfterDeserialization)]
|
|---|
| 729 | private void AfterDeserialization() {
|
|---|
| 730 | }
|
|---|
| 731 |
|
|---|
| 732 | public override ISymbolicExpressionTreeNode CreateTreeNode() {
|
|---|
| 733 | return new CovMaternTreeNode(this);
|
|---|
| 734 | }
|
|---|
| 735 | public override IDeepCloneable Clone(Cloner cloner) {
|
|---|
| 736 | return new CovMatern(this, cloner);
|
|---|
| 737 | }
|
|---|
| 738 | }
|
|---|
| 739 |
|
|---|
| 740 | [StorableClass]
|
|---|
| 741 | public sealed class CovPeriodic : Symbol {
|
|---|
| 742 | [Storable]
|
|---|
| 743 | public double MinSigma { get; set; }
|
|---|
| 744 | [Storable]
|
|---|
| 745 | public double MaxSigma { get; set; }
|
|---|
| 746 | [Storable]
|
|---|
| 747 | public double SigmaShakingMu { get; set; }
|
|---|
| 748 | [Storable]
|
|---|
| 749 | public double SigmaShakingSigma { get; set; }
|
|---|
| 750 | [Storable]
|
|---|
| 751 | public double MinL { get; set; }
|
|---|
| 752 | [Storable]
|
|---|
| 753 | public double MaxL { get; set; }
|
|---|
| 754 | [Storable]
|
|---|
| 755 | public double LShakingMu { get; set; }
|
|---|
| 756 | [Storable]
|
|---|
| 757 | public double LShakingSigma { get; set; }
|
|---|
| 758 | [Storable]
|
|---|
| 759 | public double MinPeriod { get; set; }
|
|---|
| 760 | [Storable]
|
|---|
| 761 | public double MaxPeriod { get; set; }
|
|---|
| 762 | [Storable]
|
|---|
| 763 | public double PeriodShakingMu { get; set; }
|
|---|
| 764 | [Storable]
|
|---|
| 765 | public double PeriodShakingSigma { get; set; }
|
|---|
| 766 |
|
|---|
| 767 | public override int MinimumArity {
|
|---|
| 768 | get { return 0; }
|
|---|
| 769 | }
|
|---|
| 770 | public override int MaximumArity {
|
|---|
| 771 | get { return 0; }
|
|---|
| 772 | }
|
|---|
| 773 |
|
|---|
| 774 | [StorableConstructor]
|
|---|
| 775 | private CovPeriodic(bool deserializing) : base(deserializing) { }
|
|---|
| 776 | private CovPeriodic(CovPeriodic original, Cloner cloner)
|
|---|
| 777 | : base(original, cloner) {
|
|---|
| 778 | MinSigma = original.MinSigma;
|
|---|
| 779 | MaxSigma = original.MaxSigma;
|
|---|
| 780 | SigmaShakingMu = original.SigmaShakingMu;
|
|---|
| 781 | SigmaShakingSigma = original.SigmaShakingSigma;
|
|---|
| 782 | MinL = original.MinL;
|
|---|
| 783 | MaxL = original.MaxL;
|
|---|
| 784 | LShakingMu = original.LShakingMu;
|
|---|
| 785 | LShakingSigma = original.LShakingSigma;
|
|---|
| 786 | MinPeriod = original.MinL;
|
|---|
| 787 | MaxPeriod = original.MaxL;
|
|---|
| 788 | PeriodShakingMu = original.PeriodShakingMu;
|
|---|
| 789 | PeriodShakingSigma = original.PeriodShakingSigma;
|
|---|
| 790 | }
|
|---|
| 791 |
|
|---|
| 792 | public CovPeriodic()
|
|---|
| 793 | : base("CovPeriodic", "Periodic covariance function") {
|
|---|
| 794 | MinSigma = 1.0;
|
|---|
| 795 | MaxSigma = 100.0;
|
|---|
| 796 | SigmaShakingMu = 1.0;
|
|---|
| 797 | SigmaShakingSigma = 1.0;
|
|---|
| 798 | MinL = 1.0;
|
|---|
| 799 | MaxL = 100.0;
|
|---|
| 800 | LShakingMu = 1.0;
|
|---|
| 801 | LShakingSigma = 1.0;
|
|---|
| 802 | MinPeriod = 1.0;
|
|---|
| 803 | MaxPeriod = 100.0;
|
|---|
| 804 | PeriodShakingMu = 1.0;
|
|---|
| 805 | PeriodShakingSigma = 1.0;
|
|---|
| 806 | }
|
|---|
| 807 | [StorableHook(HookType.AfterDeserialization)]
|
|---|
| 808 | private void AfterDeserialization() {
|
|---|
| 809 | }
|
|---|
| 810 |
|
|---|
| 811 | public override ISymbolicExpressionTreeNode CreateTreeNode() {
|
|---|
| 812 | return new CovPeriodicTreeNode(this);
|
|---|
| 813 | }
|
|---|
| 814 | public override IDeepCloneable Clone(Cloner cloner) {
|
|---|
| 815 | return new CovPeriodic(this, cloner);
|
|---|
| 816 | }
|
|---|
| 817 | }
|
|---|
| 818 | [StorableClass]
|
|---|
| 819 | public sealed class CovRQArd : Symbol, IDimensionSymbol {
|
|---|
| 820 | [Storable]
|
|---|
| 821 | public double LambdaMu { get; set; }
|
|---|
| 822 | [Storable]
|
|---|
| 823 | public double LambdaSigma { get; set; }
|
|---|
| 824 | [Storable]
|
|---|
| 825 | public double LambdaShakingMu { get; set; }
|
|---|
| 826 | [Storable]
|
|---|
| 827 | public double LambdaShakingSigma { get; set; }
|
|---|
| 828 | [Storable]
|
|---|
| 829 | public double MinSigma { get; set; }
|
|---|
| 830 | [Storable]
|
|---|
| 831 | public double MaxSigma { get; set; }
|
|---|
| 832 | [Storable]
|
|---|
| 833 | public double SigmaShakingMu { get; set; }
|
|---|
| 834 | [Storable]
|
|---|
| 835 | public double SigmaShakingSigma { get; set; }
|
|---|
| 836 | [Storable]
|
|---|
| 837 | public double MinShape { get; set; }
|
|---|
| 838 | [Storable]
|
|---|
| 839 | public double MaxShape { get; set; }
|
|---|
| 840 | [Storable]
|
|---|
| 841 | public double ShapeShakingMu { get; set; }
|
|---|
| 842 | [Storable]
|
|---|
| 843 | public double ShapeShakingSigma { get; set; }
|
|---|
| 844 |
|
|---|
| 845 | public override int MinimumArity {
|
|---|
| 846 | get { return 0; }
|
|---|
| 847 | }
|
|---|
| 848 | public override int MaximumArity {
|
|---|
| 849 | get { return 0; }
|
|---|
| 850 | }
|
|---|
| 851 |
|
|---|
| 852 | [Storable]
|
|---|
| 853 | public int Dimension { get; set; }
|
|---|
| 854 |
|
|---|
| 855 | [StorableConstructor]
|
|---|
| 856 | private CovRQArd(bool deserializing) : base(deserializing) { }
|
|---|
| 857 | private CovRQArd(CovRQArd original, Cloner cloner)
|
|---|
| 858 | : base(original, cloner) {
|
|---|
| 859 | Dimension = original.Dimension;
|
|---|
| 860 | LambdaMu = original.LambdaMu;
|
|---|
| 861 | LambdaSigma = original.LambdaSigma;
|
|---|
| 862 | LambdaShakingMu = original.LambdaShakingMu;
|
|---|
| 863 | LambdaShakingSigma = original.LambdaShakingSigma;
|
|---|
| 864 | MinSigma = original.MinSigma;
|
|---|
| 865 | MaxSigma = original.MaxSigma;
|
|---|
| 866 | SigmaShakingMu = original.SigmaShakingMu;
|
|---|
| 867 | SigmaShakingSigma = original.SigmaShakingSigma;
|
|---|
| 868 | MinShape = original.MinShape;
|
|---|
| 869 | MaxShape = original.MaxShape;
|
|---|
| 870 | ShapeShakingMu = original.ShapeShakingMu;
|
|---|
| 871 | ShapeShakingSigma = original.ShapeShakingSigma;
|
|---|
| 872 | }
|
|---|
| 873 |
|
|---|
| 874 | public CovRQArd(int dimension)
|
|---|
| 875 | : base("CovRQArd", "full rational quadratic covariance function with ARD") {
|
|---|
| 876 | this.Dimension = dimension;
|
|---|
| 877 | LambdaMu = 0.0;
|
|---|
| 878 | LambdaSigma = 1.0;
|
|---|
| 879 | LambdaShakingMu = 1.0;
|
|---|
| 880 | LambdaShakingSigma = 0.1;
|
|---|
| 881 | MinSigma = 0.0;
|
|---|
| 882 | MaxSigma = 100.0;
|
|---|
| 883 | SigmaShakingMu = 1.0;
|
|---|
| 884 | SigmaShakingSigma = 1.0;
|
|---|
| 885 | MinShape = 1.0;
|
|---|
| 886 | MaxShape = 100.0;
|
|---|
| 887 | ShapeShakingMu = 1.0;
|
|---|
| 888 | ShapeShakingSigma = 1.0;
|
|---|
| 889 | }
|
|---|
| 890 | [StorableHook(HookType.AfterDeserialization)]
|
|---|
| 891 | private void AfterDeserialization() {
|
|---|
| 892 | }
|
|---|
| 893 |
|
|---|
| 894 | public override ISymbolicExpressionTreeNode CreateTreeNode() {
|
|---|
| 895 | return new CovRQArdTreeNode(this);
|
|---|
| 896 | }
|
|---|
| 897 | public override IDeepCloneable Clone(Cloner cloner) {
|
|---|
| 898 | return new CovRQArd(this, cloner);
|
|---|
| 899 | }
|
|---|
| 900 | }
|
|---|
| 901 | [StorableClass]
|
|---|
| 902 | public sealed class CovRQIso : Symbol {
|
|---|
| 903 | [Storable]
|
|---|
| 904 | public double MinSigma { get; set; }
|
|---|
| 905 | [Storable]
|
|---|
| 906 | public double MaxSigma { get; set; }
|
|---|
| 907 | [Storable]
|
|---|
| 908 | public double SigmaShakingMu { get; set; }
|
|---|
| 909 | [Storable]
|
|---|
| 910 | public double SigmaShakingSigma { get; set; }
|
|---|
| 911 | [Storable]
|
|---|
| 912 | public double MinL { get; set; }
|
|---|
| 913 | [Storable]
|
|---|
| 914 | public double MaxL { get; set; }
|
|---|
| 915 | [Storable]
|
|---|
| 916 | public double LShakingMu { get; set; }
|
|---|
| 917 | [Storable]
|
|---|
| 918 | public double LShakingSigma { get; set; }
|
|---|
| 919 | [Storable]
|
|---|
| 920 | public double MinShape { get; set; }
|
|---|
| 921 | [Storable]
|
|---|
| 922 | public double MaxShape { get; set; }
|
|---|
| 923 | [Storable]
|
|---|
| 924 | public double ShapeShakingMu { get; set; }
|
|---|
| 925 | [Storable]
|
|---|
| 926 | public double ShapeShakingSigma { get; set; }
|
|---|
| 927 |
|
|---|
| 928 | public override int MinimumArity {
|
|---|
| 929 | get { return 0; }
|
|---|
| 930 | }
|
|---|
| 931 | public override int MaximumArity {
|
|---|
| 932 | get { return 0; }
|
|---|
| 933 | }
|
|---|
| 934 |
|
|---|
| 935 | [StorableConstructor]
|
|---|
| 936 | private CovRQIso(bool deserializing) : base(deserializing) { }
|
|---|
| 937 | private CovRQIso(CovRQIso original, Cloner cloner)
|
|---|
| 938 | : base(original, cloner) {
|
|---|
| 939 | MinSigma = original.MinSigma;
|
|---|
| 940 | MaxSigma = original.MaxSigma;
|
|---|
| 941 | SigmaShakingMu = original.SigmaShakingMu;
|
|---|
| 942 | SigmaShakingSigma = original.SigmaShakingSigma;
|
|---|
| 943 | MinL = original.MinL;
|
|---|
| 944 | MaxL = original.MaxL;
|
|---|
| 945 | LShakingMu = original.LShakingMu;
|
|---|
| 946 | LShakingSigma = original.LShakingSigma;
|
|---|
| 947 | MinShape = original.MinShape;
|
|---|
| 948 | MaxShape = original.MaxShape;
|
|---|
| 949 | ShapeShakingMu = original.ShapeShakingMu;
|
|---|
| 950 | ShapeShakingSigma = original.ShapeShakingSigma;
|
|---|
| 951 | }
|
|---|
| 952 |
|
|---|
| 953 | public CovRQIso()
|
|---|
| 954 | : base("CovRQIso", "Rational quadratic covariance function") {
|
|---|
| 955 | MinSigma = 1.0;
|
|---|
| 956 | MaxSigma = 100.0;
|
|---|
| 957 | SigmaShakingMu = 1.0;
|
|---|
| 958 | SigmaShakingSigma = 1.0;
|
|---|
| 959 | MinL = 1.0;
|
|---|
| 960 | MaxL = 100.0;
|
|---|
| 961 | LShakingMu = 1.0;
|
|---|
| 962 | LShakingSigma = 1.0;
|
|---|
| 963 | MinShape = 1.0;
|
|---|
| 964 | MaxShape = 100.0;
|
|---|
| 965 | ShapeShakingMu = 1.0;
|
|---|
| 966 | ShapeShakingSigma = 1.0;
|
|---|
| 967 | }
|
|---|
| 968 | [StorableHook(HookType.AfterDeserialization)]
|
|---|
| 969 | private void AfterDeserialization() {
|
|---|
| 970 | }
|
|---|
| 971 |
|
|---|
| 972 | public override ISymbolicExpressionTreeNode CreateTreeNode() {
|
|---|
| 973 | return new CovRQisoTreeNode(this);
|
|---|
| 974 | }
|
|---|
| 975 | public override IDeepCloneable Clone(Cloner cloner) {
|
|---|
| 976 | return new CovRQIso(this, cloner);
|
|---|
| 977 | }
|
|---|
| 978 | }
|
|---|
| 979 | #endregion
|
|---|
| 980 |
|
|---|
| 981 | #region covariance function functions
|
|---|
| 982 | [StorableClass]
|
|---|
| 983 | public sealed class CovSum : Symbol {
|
|---|
| 984 | public override int MinimumArity {
|
|---|
| 985 | get { return 3; }
|
|---|
| 986 | }
|
|---|
| 987 | public override int MaximumArity {
|
|---|
| 988 | get { return 3; }
|
|---|
| 989 | }
|
|---|
| 990 |
|
|---|
| 991 | [StorableConstructor]
|
|---|
| 992 | private CovSum(bool deserializing) : base(deserializing) { }
|
|---|
| 993 | private CovSum(CovSum original, Cloner cloner)
|
|---|
| 994 | : base(original, cloner) {
|
|---|
| 995 | }
|
|---|
| 996 |
|
|---|
| 997 | public CovSum()
|
|---|
| 998 | : base("CovSum", "Sum of two covariance functions") {
|
|---|
| 999 | }
|
|---|
| 1000 | [StorableHook(HookType.AfterDeserialization)]
|
|---|
| 1001 | private void AfterDeserialization() {
|
|---|
| 1002 | }
|
|---|
| 1003 |
|
|---|
| 1004 | public override IDeepCloneable Clone(Cloner cloner) {
|
|---|
| 1005 | return new CovSum(this, cloner);
|
|---|
| 1006 | }
|
|---|
| 1007 | }
|
|---|
| 1008 | [StorableClass]
|
|---|
| 1009 | public sealed class CovProd : Symbol {
|
|---|
| 1010 | public override int MinimumArity {
|
|---|
| 1011 | get { return 3; }
|
|---|
| 1012 | }
|
|---|
| 1013 | public override int MaximumArity {
|
|---|
| 1014 | get { return 3; }
|
|---|
| 1015 | }
|
|---|
| 1016 |
|
|---|
| 1017 | [StorableConstructor]
|
|---|
| 1018 | private CovProd(bool deserializing) : base(deserializing) { }
|
|---|
| 1019 | private CovProd(CovProd original, Cloner cloner)
|
|---|
| 1020 | : base(original, cloner) {
|
|---|
| 1021 | }
|
|---|
| 1022 |
|
|---|
| 1023 | public CovProd()
|
|---|
| 1024 | : base("CovProd", "Product of two covariance functions") {
|
|---|
| 1025 | }
|
|---|
| 1026 | [StorableHook(HookType.AfterDeserialization)]
|
|---|
| 1027 | private void AfterDeserialization() {
|
|---|
| 1028 | }
|
|---|
| 1029 |
|
|---|
| 1030 | public override IDeepCloneable Clone(Cloner cloner) {
|
|---|
| 1031 | return new CovProd(this, cloner);
|
|---|
| 1032 | }
|
|---|
| 1033 | }
|
|---|
| 1034 | [StorableClass]
|
|---|
| 1035 | public sealed class CovScale : Symbol {
|
|---|
| 1036 | [Storable]
|
|---|
| 1037 | public double AlphaMu { get; set; }
|
|---|
| 1038 | [Storable]
|
|---|
| 1039 | public double AlphaSigma { get; set; }
|
|---|
| 1040 | [Storable]
|
|---|
| 1041 | public double AlphaShakingMu { get; set; }
|
|---|
| 1042 | [Storable]
|
|---|
| 1043 | public double AlphaShakingSigma { get; set; }
|
|---|
| 1044 |
|
|---|
| 1045 | public override int MinimumArity {
|
|---|
| 1046 | get { return 1; }
|
|---|
| 1047 | }
|
|---|
| 1048 | public override int MaximumArity {
|
|---|
| 1049 | get { return 1; }
|
|---|
| 1050 | }
|
|---|
| 1051 |
|
|---|
| 1052 | [StorableConstructor]
|
|---|
| 1053 | private CovScale(bool deserializing) : base(deserializing) { }
|
|---|
| 1054 | private CovScale(CovScale original, Cloner cloner)
|
|---|
| 1055 | : base(original, cloner) {
|
|---|
| 1056 | AlphaMu = original.AlphaMu;
|
|---|
| 1057 | AlphaSigma = original.AlphaSigma;
|
|---|
| 1058 | AlphaShakingMu = original.AlphaShakingMu;
|
|---|
| 1059 | AlphaShakingSigma = original.AlphaShakingSigma;
|
|---|
| 1060 | }
|
|---|
| 1061 |
|
|---|
| 1062 | public CovScale()
|
|---|
| 1063 | : base("CovScale", "Scale a covariance function") {
|
|---|
| 1064 | AlphaMu = 0.0;
|
|---|
| 1065 | AlphaSigma = 1.0;
|
|---|
| 1066 | AlphaShakingMu = 1.0;
|
|---|
| 1067 | AlphaShakingSigma = 0.1;
|
|---|
| 1068 | }
|
|---|
| 1069 | [StorableHook(HookType.AfterDeserialization)]
|
|---|
| 1070 | private void AfterDeserialization() {
|
|---|
| 1071 | }
|
|---|
| 1072 |
|
|---|
| 1073 | public override ISymbolicExpressionTreeNode CreateTreeNode() {
|
|---|
| 1074 | return new CovScaleTreeNode(this);
|
|---|
| 1075 | }
|
|---|
| 1076 |
|
|---|
| 1077 | public override IDeepCloneable Clone(Cloner cloner) {
|
|---|
| 1078 | return new CovScale(this, cloner);
|
|---|
| 1079 | }
|
|---|
| 1080 | }
|
|---|
| 1081 | [StorableClass]
|
|---|
| 1082 | public sealed class CovMask : Symbol, IDimensionSymbol {
|
|---|
| 1083 | [Storable]
|
|---|
| 1084 | public double MaskingProbability { get; set; }
|
|---|
| 1085 |
|
|---|
| 1086 | public override int MinimumArity {
|
|---|
| 1087 | get { return 1; }
|
|---|
| 1088 | }
|
|---|
| 1089 | public override int MaximumArity {
|
|---|
| 1090 | get { return 1; }
|
|---|
| 1091 | }
|
|---|
| 1092 | [Storable]
|
|---|
| 1093 | public int Dimension { get; set; }
|
|---|
| 1094 |
|
|---|
| 1095 | [StorableConstructor]
|
|---|
| 1096 | private CovMask(bool deserializing) : base(deserializing) { }
|
|---|
| 1097 | private CovMask(CovMask original, Cloner cloner)
|
|---|
| 1098 | : base(original, cloner) {
|
|---|
| 1099 | this.Dimension = original.Dimension;
|
|---|
| 1100 | this.MaskingProbability = original.MaskingProbability;
|
|---|
| 1101 | }
|
|---|
| 1102 |
|
|---|
| 1103 | public CovMask(int dimension)
|
|---|
| 1104 | : base("CovMask", "Mask some dimensions of the data") {
|
|---|
| 1105 | this.Dimension = dimension;
|
|---|
| 1106 | MaskingProbability = 0.2;
|
|---|
| 1107 | }
|
|---|
| 1108 | [StorableHook(HookType.AfterDeserialization)]
|
|---|
| 1109 | private void AfterDeserialization() {
|
|---|
| 1110 | }
|
|---|
| 1111 |
|
|---|
| 1112 | public override ISymbolicExpressionTreeNode CreateTreeNode() {
|
|---|
| 1113 | return new CovMaskTreeNode(this);
|
|---|
| 1114 | }
|
|---|
| 1115 | public override IDeepCloneable Clone(Cloner cloner) {
|
|---|
| 1116 | return new CovMask(this, cloner);
|
|---|
| 1117 | }
|
|---|
| 1118 | }
|
|---|
| 1119 | #endregion
|
|---|
| 1120 |
|
|---|
| 1121 | #region likelihood functions
|
|---|
| 1122 | [StorableClass]
|
|---|
| 1123 | public sealed class LikGauss : Symbol {
|
|---|
| 1124 | [Storable]
|
|---|
| 1125 | public double MinSigma { get; set; }
|
|---|
| 1126 | [Storable]
|
|---|
| 1127 | public double MaxSigma { get; set; }
|
|---|
| 1128 | [Storable]
|
|---|
| 1129 | public double SigmaShakingMu { get; set; }
|
|---|
| 1130 | [Storable]
|
|---|
| 1131 | public double SigmaShakingSigma { get; set; }
|
|---|
| 1132 |
|
|---|
| 1133 | public override int MinimumArity {
|
|---|
| 1134 | get { return 0; }
|
|---|
| 1135 | }
|
|---|
| 1136 | public override int MaximumArity {
|
|---|
| 1137 | get { return 0; }
|
|---|
| 1138 | }
|
|---|
| 1139 |
|
|---|
| 1140 | [StorableConstructor]
|
|---|
| 1141 | private LikGauss(bool deserializing) : base(deserializing) { }
|
|---|
| 1142 | private LikGauss(LikGauss original, Cloner cloner)
|
|---|
| 1143 | : base(original, cloner) {
|
|---|
| 1144 | this.MinSigma = original.MinSigma;
|
|---|
| 1145 | this.MaxSigma = original.MaxSigma;
|
|---|
| 1146 | this.SigmaShakingMu = original.SigmaShakingMu;
|
|---|
| 1147 | this.SigmaShakingSigma = original.SigmaShakingSigma;
|
|---|
| 1148 | }
|
|---|
| 1149 |
|
|---|
| 1150 | public LikGauss()
|
|---|
| 1151 | : base("LikGauss", "Gaussian likelihood function") {
|
|---|
| 1152 | MinSigma = Math.Log(0.00001);
|
|---|
| 1153 | MaxSigma = Math.Log(100);
|
|---|
| 1154 | SigmaShakingMu = 1.0;
|
|---|
| 1155 | SigmaShakingSigma = 0.1;
|
|---|
| 1156 | }
|
|---|
| 1157 | [StorableHook(HookType.AfterDeserialization)]
|
|---|
| 1158 | private void AfterDeserialization() {
|
|---|
| 1159 | }
|
|---|
| 1160 |
|
|---|
| 1161 | public override ISymbolicExpressionTreeNode CreateTreeNode() {
|
|---|
| 1162 | return new LikGaussTreeNode(this);
|
|---|
| 1163 | }
|
|---|
| 1164 |
|
|---|
| 1165 | public override IDeepCloneable Clone(Cloner cloner) {
|
|---|
| 1166 | return new LikGauss(this, cloner);
|
|---|
| 1167 | }
|
|---|
| 1168 | }
|
|---|
| 1169 | #endregion
|
|---|
| 1170 | }
|
|---|
