- Timestamp:
- 09/10/12 15:09:34 (13 years ago)
- Location:
- trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess
- Files:
-
- 1 added
- 2 moved
Legend:
- Unmodified
- Added
- Removed
-
trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/CovarianceProduct.cs
r8612 r8620 29 29 namespace HeuristicLab.Algorithms.DataAnalysis { 30 30 [StorableClass] 31 [Item(Name = "CovarianceProd ",31 [Item(Name = "CovarianceProduct", 32 32 Description = "Product covariance function for Gaussian processes.")] 33 public sealed class CovarianceProd : Item, ICovarianceFunction {33 public sealed class CovarianceProduct : Item, ICovarianceFunction { 34 34 [Storable] 35 35 private ItemList<ICovarianceFunction> factors; … … 42 42 43 43 [StorableConstructor] 44 private CovarianceProd (bool deserializing)44 private CovarianceProduct(bool deserializing) 45 45 : base(deserializing) { 46 46 } 47 47 48 private CovarianceProd (CovarianceProdoriginal, Cloner cloner)48 private CovarianceProduct(CovarianceProduct original, Cloner cloner) 49 49 : base(original, cloner) { 50 50 this.factors = cloner.Clone(original.factors); … … 52 52 } 53 53 54 public CovarianceProd ()54 public CovarianceProduct() 55 55 : base() { 56 56 this.factors = new ItemList<ICovarianceFunction>(); … … 58 58 59 59 public override IDeepCloneable Clone(Cloner cloner) { 60 return new CovarianceProd (this, cloner);60 return new CovarianceProduct(this, cloner); 61 61 } 62 62 -
trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/MeanProduct.cs
r8612 r8620 26 26 namespace HeuristicLab.Algorithms.DataAnalysis { 27 27 [StorableClass] 28 [Item(Name = "MeanProd ", Description = "Product of mean functions for Gaussian processes.")]29 public sealed class MeanProd : Item, IMeanFunction {28 [Item(Name = "MeanProduct", Description = "Product of mean functions for Gaussian processes.")] 29 public sealed class MeanProduct : Item, IMeanFunction { 30 30 [Storable] 31 31 private ItemList<IMeanFunction> factors; … … 39 39 40 40 [StorableConstructor] 41 private MeanProd (bool deserializing)41 private MeanProduct(bool deserializing) 42 42 : base(deserializing) { 43 43 } 44 44 45 private MeanProd (MeanProdoriginal, Cloner cloner)45 private MeanProduct(MeanProduct original, Cloner cloner) 46 46 : base(original, cloner) { 47 47 this.factors = cloner.Clone(original.factors); … … 49 49 } 50 50 51 public MeanProd () {51 public MeanProduct() { 52 52 this.factors = new ItemList<IMeanFunction>(); 53 53 } 54 54 public override IDeepCloneable Clone(Cloner cloner) { 55 return new MeanProd (this, cloner);55 return new MeanProduct(this, cloner); 56 56 } 57 57
Note: See TracChangeset
for help on using the changeset viewer.