source: trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/SymbolicRegressionMultiObjectiveEvaluator.cs @ 13916

Last change on this file since 13916 was 13916, checked in by mkommend, 3 years ago

#2584: Updated visibility (hidden attribute) for parameters of symbolic regression evaluators.

File size: 5.5 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2015 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
23using HeuristicLab.Common;
24using HeuristicLab.Core;
25using HeuristicLab.Data;
26using HeuristicLab.Parameters;
27using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
28
29namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
30  [StorableClass]
31  public abstract class SymbolicRegressionMultiObjectiveEvaluator : SymbolicDataAnalysisMultiObjectiveEvaluator<IRegressionProblemData>, ISymbolicRegressionMultiObjectiveEvaluator {
32    private const string DecimalPlacesParameterName = "Decimal Places";
33    private const string UseConstantOptimizationParameterName = "Use constant optimization";
34    private const string ConstantOptimizationIterationsParameterName = "Constant optimization iterations";
35
36    private const string ConstantOptimizationUpdateVariableWeightsParameterName =
37      "Constant optimization update variable weights";
38
39    public IFixedValueParameter<IntValue> DecimalPlacesParameter {
40      get { return (IFixedValueParameter<IntValue>)Parameters[DecimalPlacesParameterName]; }
41    }
42    public IFixedValueParameter<BoolValue> UseConstantOptimizationParameter {
43      get { return (IFixedValueParameter<BoolValue>)Parameters[UseConstantOptimizationParameterName]; }
44    }
45
46    public IFixedValueParameter<IntValue> ConstantOptimizationIterationsParameter {
47      get { return (IFixedValueParameter<IntValue>)Parameters[ConstantOptimizationIterationsParameterName]; }
48    }
49
50    public IFixedValueParameter<BoolValue> ConstantOptimizationUpdateVariableWeightsParameter {
51      get { return (IFixedValueParameter<BoolValue>)Parameters[ConstantOptimizationUpdateVariableWeightsParameterName]; }
52    }
53
54    public int DecimalPlaces {
55      get { return DecimalPlacesParameter.Value.Value; }
56      set { DecimalPlacesParameter.Value.Value = value; }
57    }
58    public bool UseConstantOptimization {
59      get { return UseConstantOptimizationParameter.Value.Value; }
60      set { UseConstantOptimizationParameter.Value.Value = value; }
61    }
62    public int ConstantOptimizationIterations {
63      get { return ConstantOptimizationIterationsParameter.Value.Value; }
64      set { ConstantOptimizationIterationsParameter.Value.Value = value; }
65    }
66    public bool ConstantOptimizationUpdateVariableWeights {
67      get { return ConstantOptimizationUpdateVariableWeightsParameter.Value.Value; }
68      set { ConstantOptimizationUpdateVariableWeightsParameter.Value.Value = value; }
69    }
70
71    [StorableConstructor]
72    protected SymbolicRegressionMultiObjectiveEvaluator(bool deserializing) : base(deserializing) { }
73    protected SymbolicRegressionMultiObjectiveEvaluator(SymbolicRegressionMultiObjectiveEvaluator original, Cloner cloner)
74      : base(original, cloner) {
75    }
76
77    protected SymbolicRegressionMultiObjectiveEvaluator()
78      : base() {
79      Parameters.Add(new FixedValueParameter<IntValue>(DecimalPlacesParameterName, "The number of decimal places used for rounding the quality values.", new IntValue(5)) { Hidden = true });
80      Parameters.Add(new FixedValueParameter<BoolValue>(UseConstantOptimizationParameterName, "", new BoolValue(false)));
81      Parameters.Add(new FixedValueParameter<IntValue>(ConstantOptimizationIterationsParameterName, "The number of iterations constant optimization should be applied.", new IntValue(5)));
82      Parameters.Add(new FixedValueParameter<BoolValue>(ConstantOptimizationUpdateVariableWeightsParameterName, "Determines if the variable weights in the tree should be optimized during constant optimization.", new BoolValue(true)) { Hidden = true });
83    }
84
85    [StorableHook(HookType.AfterDeserialization)]
86    private void AfterDeserialization() {
87      if (!Parameters.ContainsKey(UseConstantOptimizationParameterName)) {
88        Parameters.Add(new FixedValueParameter<BoolValue>(UseConstantOptimizationParameterName, "", new BoolValue(false)));
89      }
90      if (!Parameters.ContainsKey(DecimalPlacesParameterName)) {
91        Parameters.Add(new FixedValueParameter<IntValue>(DecimalPlacesParameterName, "The number of decimal places used for rounding the quality values.", new IntValue(-1)) { Hidden = true });
92      }
93      if (!Parameters.ContainsKey(ConstantOptimizationIterationsParameterName)) {
94        Parameters.Add(new FixedValueParameter<IntValue>(ConstantOptimizationIterationsParameterName, "The number of iterations constant optimization should be applied.", new IntValue(5)));
95      }
96      if (!Parameters.ContainsKey(ConstantOptimizationUpdateVariableWeightsParameterName)) {
97        Parameters.Add(new FixedValueParameter<BoolValue>(ConstantOptimizationUpdateVariableWeightsParameterName, "Determines if the variable weights in the tree should be optimized during constant optimization.", new BoolValue(true)));
98      }
99    }
100  }
101}
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