1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2016 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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22 | using System;
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23 | using System.Linq;
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24 | using HeuristicLab.Common;
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25 | using HeuristicLab.Core;
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26 | using HeuristicLab.Data;
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27 | using HeuristicLab.Encodings.RealVectorEncoding;
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28 | using HeuristicLab.Operators;
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29 | using HeuristicLab.Parameters;
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30 | using HeuristicLab.Persistence;
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31 |
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32 | namespace HeuristicLab.Algorithms.GradientDescent {
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33 | [StorableType("e80175af-89d5-456b-afae-3de80785e946")]
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34 | [Item(Name = "LBFGS Initializer", Description = "Initializes the necessary data structures for the LM-BFGS algorithm.")]
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35 | public sealed class LbfgsInitializer : SingleSuccessorOperator {
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36 | private const string PointParameterName = "Point";
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37 | private const string StateParameterName = "State";
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38 | private const string IterationsParameterName = "Iterations";
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39 | private const string ApproximateGradientsParameterName = "ApproximateGradients";
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40 | private const string GradientCheckStepSizeParameterName = "GradientCheckStepSize";
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41 |
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42 | #region Parameter Properties
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43 | // in
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44 | public ILookupParameter<IntValue> IterationsParameter {
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45 | get { return (ILookupParameter<IntValue>)Parameters[IterationsParameterName]; }
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46 | }
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47 | public ILookupParameter<RealVector> PointParameter {
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48 | get { return (ILookupParameter<RealVector>)Parameters[PointParameterName]; }
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49 | }
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50 | // out
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51 | public ILookupParameter<LbfgsState> StateParameter {
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52 | get { return (ILookupParameter<LbfgsState>)Parameters[StateParameterName]; }
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53 | }
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54 | public ILookupParameter<BoolValue> ApproximateGradientsParameter {
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55 | get { return (ILookupParameter<BoolValue>)Parameters[ApproximateGradientsParameterName]; }
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56 | }
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57 | public ILookupParameter<DoubleValue> GradientStepSizeParameter {
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58 | get { return (ILookupParameter<DoubleValue>)Parameters[GradientCheckStepSizeParameterName]; }
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59 | }
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60 |
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61 |
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62 | #endregion
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63 |
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64 | #region Properties
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65 | private RealVector Point { get { return PointParameter.ActualValue; } }
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66 | private IntValue Iterations { get { return IterationsParameter.ActualValue; } }
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67 | private BoolValue ApproximateGradients { get { return ApproximateGradientsParameter.ActualValue; } }
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68 | #endregion
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69 |
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70 | [StorableConstructor]
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71 | private LbfgsInitializer(StorableConstructorFlag deserializing) : base(deserializing) { }
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72 | private LbfgsInitializer(LbfgsInitializer original, Cloner cloner) : base(original, cloner) { }
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73 | public LbfgsInitializer()
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74 | : base() {
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75 | // in
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76 | Parameters.Add(new LookupParameter<RealVector>(PointParameterName, "The initial point for the LM-BFGS algorithm."));
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77 | Parameters.Add(new LookupParameter<IntValue>(IterationsParameterName, "The maximal number of iterations for the LM-BFGS algorithm."));
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78 | Parameters.Add(new LookupParameter<BoolValue>(ApproximateGradientsParameterName,
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79 | "Flag that indicates if gradients should be approximated."));
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80 | Parameters.Add(new LookupParameter<DoubleValue>(GradientCheckStepSizeParameterName, "Step size for the gradient check (should be used for debugging the gradient calculation only)."));
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81 | // out
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82 | Parameters.Add(new LookupParameter<LbfgsState>(StateParameterName, "The state of the LM-BFGS algorithm."));
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83 | }
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84 |
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85 | public override IDeepCloneable Clone(Cloner cloner) {
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86 | return new LbfgsInitializer(this, cloner);
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87 | }
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88 |
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89 | public override IOperation Apply() {
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90 | double[] initialPoint = Point.ToArray();
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91 | int n = initialPoint.Length;
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92 | alglib.minlbfgs.minlbfgsstate state = new alglib.minlbfgs.minlbfgsstate();
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93 | if (ApproximateGradients.Value) {
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94 | alglib.minlbfgs.minlbfgscreatef(n, Math.Min(n, 10), initialPoint, 1E-5, state);
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95 | } else {
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96 | alglib.minlbfgs.minlbfgscreate(n, Math.Min(n, 10), initialPoint, state);
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97 | }
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98 | alglib.minlbfgs.minlbfgssetcond(state, 0.0, 0, 0, Iterations.Value);
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99 | alglib.minlbfgs.minlbfgssetxrep(state, true);
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100 | if (GradientStepSizeParameter.ActualValue != null && GradientStepSizeParameter.ActualValue.Value > 0)
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101 | alglib.minlbfgs.minlbfgssetgradientcheck(state, GradientStepSizeParameter.ActualValue.Value);
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102 |
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103 | PointParameter.ActualValue = new RealVector(initialPoint);
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104 | StateParameter.ActualValue = new LbfgsState(state);
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105 | return base.Apply();
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106 | }
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107 | }
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108 | }
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