1 | #region License Information
|
---|
2 | /* HeuristicLab
|
---|
3 | * Copyright (C) 2002-2010 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
|
---|
4 | *
|
---|
5 | * This file is part of HeuristicLab.
|
---|
6 | *
|
---|
7 | * HeuristicLab is free software: you can redistribute it and/or modify
|
---|
8 | * it under the terms of the GNU General Public License as published by
|
---|
9 | * the Free Software Foundation, either version 3 of the License, or
|
---|
10 | * (at your option) any later version.
|
---|
11 | *
|
---|
12 | * HeuristicLab is distributed in the hope that it will be useful,
|
---|
13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
|
---|
14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
---|
15 | * GNU General Public License for more details.
|
---|
16 | *
|
---|
17 | * You should have received a copy of the GNU General Public License
|
---|
18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
|
---|
19 | */
|
---|
20 | #endregion
|
---|
21 |
|
---|
22 | using System;
|
---|
23 | using System.Collections.Generic;
|
---|
24 | using HeuristicLab.Common;
|
---|
25 | using HeuristicLab.Core;
|
---|
26 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
|
---|
27 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
|
---|
28 |
|
---|
29 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
|
---|
30 | [StorableClass]
|
---|
31 | [Item("Variable Condition", "Represents a condition that tests a given variable.")]
|
---|
32 | public sealed class VariableCondition : Symbol {
|
---|
33 | #region properties
|
---|
34 | [Storable]
|
---|
35 | private double thresholdInitializerMu;
|
---|
36 | public double ThresholdInitializerMu {
|
---|
37 | get { return thresholdInitializerMu; }
|
---|
38 | set {
|
---|
39 | if (value != thresholdInitializerMu) {
|
---|
40 | thresholdInitializerMu = value;
|
---|
41 | OnChanged(EventArgs.Empty);
|
---|
42 | }
|
---|
43 | }
|
---|
44 | }
|
---|
45 | [Storable]
|
---|
46 | private double thresholdInitializerSigma;
|
---|
47 | public double ThresholdInitializerSigma {
|
---|
48 | get { return thresholdInitializerSigma; }
|
---|
49 | set {
|
---|
50 | if (thresholdInitializerSigma < 0.0) throw new ArgumentException("Negative sigma is not allowed.");
|
---|
51 | if (value != thresholdInitializerSigma) {
|
---|
52 | thresholdInitializerSigma = value;
|
---|
53 | OnChanged(EventArgs.Empty);
|
---|
54 | }
|
---|
55 | }
|
---|
56 | }
|
---|
57 |
|
---|
58 | [Storable]
|
---|
59 | private double thresholdManipulatorMu;
|
---|
60 | public double ThresholdManipulatorMu {
|
---|
61 | get { return thresholdManipulatorMu; }
|
---|
62 | set {
|
---|
63 | if (value != thresholdManipulatorMu) {
|
---|
64 | thresholdManipulatorMu = value;
|
---|
65 | OnChanged(EventArgs.Empty);
|
---|
66 | }
|
---|
67 | }
|
---|
68 | }
|
---|
69 | [Storable]
|
---|
70 | private double thresholdManipulatorSigma;
|
---|
71 | public double ThresholdManipulatorSigma {
|
---|
72 | get { return thresholdManipulatorSigma; }
|
---|
73 | set {
|
---|
74 | if (thresholdManipulatorSigma < 0.0) throw new ArgumentException("Negative sigma is not allowed.");
|
---|
75 | if (value != thresholdManipulatorSigma) {
|
---|
76 | thresholdManipulatorSigma = value;
|
---|
77 | OnChanged(EventArgs.Empty);
|
---|
78 | }
|
---|
79 | }
|
---|
80 | }
|
---|
81 |
|
---|
82 | private List<string> variableNames;
|
---|
83 | [Storable]
|
---|
84 | public IEnumerable<string> VariableNames {
|
---|
85 | get { return variableNames; }
|
---|
86 | set {
|
---|
87 | if (value == null) throw new ArgumentNullException();
|
---|
88 | variableNames = new List<string>(value);
|
---|
89 | OnChanged(EventArgs.Empty);
|
---|
90 | }
|
---|
91 | }
|
---|
92 |
|
---|
93 | [Storable]
|
---|
94 | private double slopeInitializerMu;
|
---|
95 | public double SlopeInitializerMu {
|
---|
96 | get { return slopeInitializerMu; }
|
---|
97 | set {
|
---|
98 | if (value != slopeInitializerMu) {
|
---|
99 | slopeInitializerMu = value;
|
---|
100 | OnChanged(EventArgs.Empty);
|
---|
101 | }
|
---|
102 | }
|
---|
103 | }
|
---|
104 | [Storable]
|
---|
105 | private double slopeInitializerSigma;
|
---|
106 | public double SlopeInitializerSigma {
|
---|
107 | get { return slopeInitializerSigma; }
|
---|
108 | set {
|
---|
109 | if (slopeInitializerSigma < 0.0) throw new ArgumentException("Negative sigma is not allowed.");
|
---|
110 | if (value != slopeInitializerSigma) {
|
---|
111 | slopeInitializerSigma = value;
|
---|
112 | OnChanged(EventArgs.Empty);
|
---|
113 | }
|
---|
114 | }
|
---|
115 | }
|
---|
116 |
|
---|
117 | [Storable]
|
---|
118 | private double slopeManipulatorMu;
|
---|
119 | public double SlopeManipulatorMu {
|
---|
120 | get { return slopeManipulatorMu; }
|
---|
121 | set {
|
---|
122 | if (value != slopeManipulatorMu) {
|
---|
123 | slopeManipulatorMu = value;
|
---|
124 | OnChanged(EventArgs.Empty);
|
---|
125 | }
|
---|
126 | }
|
---|
127 | }
|
---|
128 | [Storable]
|
---|
129 | private double slopeManipulatorSigma;
|
---|
130 | public double SlopeManipulatorSigma {
|
---|
131 | get { return slopeManipulatorSigma; }
|
---|
132 | set {
|
---|
133 | if (slopeManipulatorSigma < 0.0) throw new ArgumentException("Negative sigma is not allowed.");
|
---|
134 | if (value != slopeManipulatorSigma) {
|
---|
135 | slopeManipulatorSigma = value;
|
---|
136 | OnChanged(EventArgs.Empty);
|
---|
137 | }
|
---|
138 | }
|
---|
139 | }
|
---|
140 | #endregion
|
---|
141 |
|
---|
142 | #region persistence and cloning
|
---|
143 | [StorableConstructor]
|
---|
144 | private VariableCondition(bool deserializing) : base(deserializing) { }
|
---|
145 | private VariableCondition(VariableCondition original, Cloner cloner)
|
---|
146 | : base(original, cloner) {
|
---|
147 | thresholdInitializerMu = original.thresholdInitializerMu;
|
---|
148 | thresholdInitializerSigma = original.thresholdInitializerSigma;
|
---|
149 | thresholdManipulatorMu = original.thresholdManipulatorMu;
|
---|
150 | thresholdManipulatorSigma = original.thresholdManipulatorSigma;
|
---|
151 |
|
---|
152 | variableNames = new List<string>(original.variableNames);
|
---|
153 |
|
---|
154 | slopeInitializerMu = original.slopeInitializerMu;
|
---|
155 | slopeInitializerSigma = original.slopeInitializerSigma;
|
---|
156 | slopeManipulatorMu = original.slopeManipulatorMu;
|
---|
157 | slopeManipulatorSigma = original.slopeManipulatorSigma;
|
---|
158 | }
|
---|
159 | public override IDeepCloneable Clone(Cloner cloner) {
|
---|
160 | return new VariableCondition(this, cloner);
|
---|
161 | }
|
---|
162 | #endregion
|
---|
163 |
|
---|
164 | public VariableCondition() : this("Variable Condition", "Represents a condition that tests a given variable.") { }
|
---|
165 | public VariableCondition(string name, string description)
|
---|
166 | : base(name, description) {
|
---|
167 | thresholdInitializerMu = 0.0;
|
---|
168 | thresholdInitializerSigma = 0.1;
|
---|
169 | thresholdManipulatorMu = 0.0;
|
---|
170 | thresholdManipulatorSigma = 0.1;
|
---|
171 |
|
---|
172 | variableNames = new List<string>();
|
---|
173 |
|
---|
174 | slopeInitializerMu = 1.0;
|
---|
175 | slopeInitializerSigma = 0.05;
|
---|
176 | slopeManipulatorMu = 0.0;
|
---|
177 | slopeManipulatorSigma = 0.05;
|
---|
178 | }
|
---|
179 |
|
---|
180 | public override ISymbolicExpressionTreeNode CreateTreeNode() {
|
---|
181 | return new VariableConditionTreeNode(this);
|
---|
182 | }
|
---|
183 | }
|
---|
184 | }
|
---|