[14420] | 1 | #region License Information
|
---|
| 2 | /* HeuristicLab
|
---|
| 3 | * Copyright (C) 2002-2016 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.Linq;
|
---|
[14450] | 23 | using HeuristicLab.Algorithms.MemPR.Interfaces;
|
---|
[14420] | 24 | using HeuristicLab.Common;
|
---|
| 25 | using HeuristicLab.Core;
|
---|
| 26 | using HeuristicLab.Optimization;
|
---|
| 27 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
|
---|
| 28 |
|
---|
[14450] | 29 | namespace HeuristicLab.Algorithms.MemPR.Permutation.SolutionModel.Univariate {
|
---|
| 30 | [Item("Unbiased Univariate Model Trainer (Permutation)", "", ExcludeGenericTypeInfo = true)]
|
---|
[14420] | 31 | [StorableClass]
|
---|
[14496] | 32 | public class UnbiasedModelTrainer<TContext> : NamedItem, ISolutionModelTrainer<TContext>
|
---|
[14552] | 33 | where TContext : IPopulationBasedHeuristicAlgorithmContext<ISingleObjectiveHeuristicOptimizationProblem, Encodings.PermutationEncoding.Permutation>,
|
---|
[14450] | 34 | ISolutionModelContext<Encodings.PermutationEncoding.Permutation> {
|
---|
[14563] | 35 |
|
---|
| 36 | public bool Bias { get { return false; } }
|
---|
| 37 |
|
---|
[14420] | 38 | [StorableConstructor]
|
---|
[14496] | 39 | protected UnbiasedModelTrainer(bool deserializing) : base(deserializing) { }
|
---|
| 40 | protected UnbiasedModelTrainer(UnbiasedModelTrainer<TContext> original, Cloner cloner) : base(original, cloner) { }
|
---|
| 41 | public UnbiasedModelTrainer() {
|
---|
[14450] | 42 | Name = ItemName;
|
---|
| 43 | Description = ItemDescription;
|
---|
| 44 | }
|
---|
[14420] | 45 |
|
---|
| 46 | public override IDeepCloneable Clone(Cloner cloner) {
|
---|
[14496] | 47 | return new UnbiasedModelTrainer<TContext>(this, cloner);
|
---|
[14420] | 48 | }
|
---|
| 49 |
|
---|
| 50 | public void TrainModel(TContext context) {
|
---|
[14552] | 51 | context.Model = Trainer.TrainUnbiased(context.Random, context.Population.Select(x => x.Solution).ToList(), context.Population.First().Solution.Length);
|
---|
[14420] | 52 | }
|
---|
| 53 | }
|
---|
| 54 | }
|
---|