[8401] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2012 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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[8323] | 21 | using System;
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| 22 | using System.Linq;
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| 23 | using HeuristicLab.Common;
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| 24 | using HeuristicLab.Core;
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| 25 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 26 |
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[8371] | 27 | namespace HeuristicLab.Algorithms.DataAnalysis {
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[8323] | 28 | [StorableClass]
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| 29 | [Item(Name = "MeanZero", Description = "Constant zero mean function for Gaussian processes.")]
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| 30 | public class MeanZero : Item, IMeanFunction {
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| 31 | public int GetNumberOfParameters(int numberOfVariables) {
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| 32 | return 0;
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| 33 | }
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| 34 | [StorableConstructor]
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| 35 | protected MeanZero(bool deserializing) : base(deserializing) { }
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| 36 | protected MeanZero(MeanZero original, Cloner cloner)
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| 37 | : base(original, cloner) {
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| 38 | }
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| 39 | public MeanZero() {
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| 40 | }
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| 41 |
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[8416] | 42 | public void SetParameter(double[] hyp) {
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[8323] | 43 | if (hyp.Length > 0) throw new ArgumentException("No hyper-parameters allowed for zero mean function.", "hyp");
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| 44 | }
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| 45 |
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[8416] | 46 | public void SetData(double[,] x) {
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| 47 | // do nothing
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| 48 | }
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| 49 |
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[8366] | 50 | public double[] GetMean(double[,] x) {
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[8416] | 51 | return Enumerable.Repeat(0.0, x.GetLength(0)).ToArray();
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[8323] | 52 | }
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| 53 |
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[8366] | 54 | public double[] GetGradients(int k, double[,] x) {
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[8323] | 55 | if (k > 0) throw new ArgumentException();
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[8416] | 56 | return Enumerable.Repeat(0.0, x.GetLength(0)).ToArray();
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[8323] | 57 | }
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| 58 | public override IDeepCloneable Clone(Cloner cloner) {
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| 59 | return new MeanZero(this, cloner);
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| 60 | }
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| 61 | }
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| 62 | }
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