Context Navigation

← Previous Change
Next Change →

CovarianceFunctions

Timestamp:

05/04/17 17:19:35 (8 years ago)

Author:

gkronber

Message:

#2520: changed all usages of StorableClass to use StorableType with an auto-generated GUID (did not add StorableType to other type definitions yet)

Location:

branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/CovarianceFunctions

Files:

: 18 edited

CovarianceConst.cs (modified) (1 diff)
CovarianceLinear.cs (modified) (1 diff)
CovarianceLinearArd.cs (modified) (1 diff)
CovarianceMask.cs (modified) (1 diff)
CovarianceMaternIso.cs (modified) (1 diff)
CovarianceNeuralNetwork.cs (modified) (1 diff)
CovarianceNoise.cs (modified) (1 diff)
CovariancePeriodic.cs (modified) (2 diffs)
CovariancePiecewisePolynomial.cs (modified) (1 diff)
CovariancePolynomial.cs (modified) (1 diff)
CovarianceProduct.cs (modified) (1 diff)
CovarianceRationalQuadraticArd.cs (modified) (1 diff)
CovarianceRationalQuadraticIso.cs (modified) (1 diff)
CovarianceScale.cs (modified) (1 diff)
CovarianceSpectralMixture.cs (modified) (1 diff)
CovarianceSquaredExponentialArd.cs (modified) (1 diff)
CovarianceSquaredExponentialIso.cs (modified) (1 diff)
CovarianceSum.cs (modified) (1 diff)

Legend:

: Unmodified
: Added
: Removed

branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/CovarianceFunctions/CovarianceConst.cs

-                      r14185
+                      r14927
 using HeuristicLab.Data;
 using HeuristicLab.Parameters;
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Persistence;
 namespace HeuristicLab.Algorithms.DataAnalysis {
   [StorableClass]
+  [StorableType("8e4e6c02-d20d-4f5e-92a7-7f1547edfd5f")]
   [Item(Name = "CovarianceConst",
     Description = "Constant covariance function for Gaussian processes.")]

branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/CovarianceFunctions/CovarianceLinear.cs

-                      r14185
+                      r14927
 using HeuristicLab.Common;
 using HeuristicLab.Core;
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Persistence;
 namespace HeuristicLab.Algorithms.DataAnalysis {
   [StorableClass]
+  [StorableType("6d1ef20a-68d6-46d3-8f62-230345f73164")]
   [Item(Name = "CovarianceLinear", Description = "Linear covariance function for Gaussian processes.")]
   public sealed class CovarianceLinear : Item, ICovarianceFunction {

branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/CovarianceFunctions/CovarianceLinearArd.cs

-                      r14185
+                      r14927
 using HeuristicLab.Data;
 using HeuristicLab.Parameters;
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Persistence;
 namespace HeuristicLab.Algorithms.DataAnalysis {
   [StorableClass]
+  [StorableType("6e4de939-ae8c-485f-a522-579afc57c1af")]
   [Item(Name = "CovarianceLinearArd",
     Description = "Linear covariance function with automatic relevance determination for Gaussian processes.")]

branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/CovarianceFunctions/CovarianceMask.cs

-                      r14185
+                      r14927
 using HeuristicLab.Data;
 using HeuristicLab.Parameters;
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Persistence;
 namespace HeuristicLab.Algorithms.DataAnalysis {
   [StorableClass]
+  [StorableType("43ed3d03-4320-4510-a64f-c0f5c5f4b353")]
   [Item(Name = "CovarianceMask",
     Description = "Masking covariance function for dimension selection can be used to apply a covariance function only on certain input dimensions.")]

branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/CovarianceFunctions/CovarianceMaternIso.cs

-                      r14185
+                      r14927
 using HeuristicLab.Data;
 using HeuristicLab.Parameters;
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Persistence;
 namespace HeuristicLab.Algorithms.DataAnalysis {
   [StorableClass]
+  [StorableType("7a505f0e-4526-4ebf-8438-d4ccb886a30d")]
   [Item(Name = "CovarianceMaternIso",
     Description = "Matern covariance function for Gaussian processes.")]

branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/CovarianceFunctions/CovarianceNeuralNetwork.cs

-                      r14185
+                      r14927
 using HeuristicLab.Data;
 using HeuristicLab.Parameters;
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Persistence;
 namespace HeuristicLab.Algorithms.DataAnalysis {
   [StorableClass]
+  [StorableType("b573cc73-f30c-49ba-8fdf-eee1f8561131")]
   [Item(Name = "CovarianceNeuralNetwork",
     Description = "Neural network covariance function for Gaussian processes.")]

branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/CovarianceFunctions/CovarianceNoise.cs

-                      r14185
+                      r14927
 using HeuristicLab.Data;
 using HeuristicLab.Parameters;
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Persistence;
 namespace HeuristicLab.Algorithms.DataAnalysis {
   [StorableClass]
+  [StorableType("f3ba7bba-cbf3-4db2-97bb-95aa891aba99")]
   [Item(Name = "CovarianceNoise",
     Description = "Noise covariance function for Gaussian processes.")]

branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/CovarianceFunctions/CovariancePeriodic.cs

-                      r14185
+                      r14927
 using HeuristicLab.Data;
 using HeuristicLab.Parameters;
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Persistence;
 namespace HeuristicLab.Algorithms.DataAnalysis {
   [StorableClass]
+  [StorableType("2b7c587e-45ff-4ea6-b952-eb3f4f5c7433")]
   [Item(Name = "CovariancePeriodic", Description = "Periodic covariance function for Gaussian processes.")]
   public sealed class CovariancePeriodic : ParameterizedNamedItem, ICovarianceFunction {
 …
       gradient *= gradient;
       var g = new List<double>(3);
       if (!fixedInverseLength)
+      if (!fixedInverseLength)
         g.Add(4.0 * scale * Math.Exp(-2.0 * gradient) * gradient);
       if (!fixedPeriod) {

branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/CovarianceFunctions/CovariancePiecewisePolynomial.cs

-                      r14185
+                      r14927
 using HeuristicLab.Data;
 using HeuristicLab.Parameters;
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Persistence;
 namespace HeuristicLab.Algorithms.DataAnalysis {
   [StorableClass]
+  [StorableType("7b299d9e-ff06-4f07-a543-838dff8c7245")]
   [Item(Name = "CovariancePiecewisePolynomial",
     Description = "Piecewise polynomial covariance function with compact support for Gaussian processes.")]

branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/CovarianceFunctions/CovariancePolynomial.cs

-                      r14185
+                      r14927
 using HeuristicLab.Data;
 using HeuristicLab.Parameters;
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Persistence;
 namespace HeuristicLab.Algorithms.DataAnalysis {
   [StorableClass]
+  [StorableType("a5763ac6-b57a-4ee8-9126-9fcd89836819")]
   [Item(Name = "CovariancePolynomial",
     Description = "Polynomial covariance function for Gaussian processes.")]

branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/CovarianceFunctions/CovarianceProduct.cs

-                      r14185
+                      r14927
 using HeuristicLab.Common;
 using HeuristicLab.Core;
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Persistence;
 namespace HeuristicLab.Algorithms.DataAnalysis {
   [StorableClass]
+  [StorableType("c78e8a95-28f2-4b0a-88b5-6f43d6636521")]
   [Item(Name = "CovarianceProduct",
     Description = "Product covariance function for Gaussian processes.")]

branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/CovarianceFunctions/CovarianceRationalQuadraticArd.cs

-                      r14185
+                      r14927
 using HeuristicLab.Data;
 using HeuristicLab.Parameters;
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Persistence;
 namespace HeuristicLab.Algorithms.DataAnalysis {
   [StorableClass]
+  [StorableType("62f749f2-ac39-47c4-9bc5-6ce6db8b156c")]
   [Item(Name = "CovarianceRationalQuadraticArd",
     Description = "Rational quadratic covariance function with automatic relevance determination for Gaussian processes.")]

branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/CovarianceFunctions/CovarianceRationalQuadraticIso.cs

-                      r14185
+                      r14927
 using HeuristicLab.Data;
 using HeuristicLab.Parameters;
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Persistence;
 namespace HeuristicLab.Algorithms.DataAnalysis {
   [StorableClass]
+  [StorableType("8a969770-6bcd-48a0-9af9-8c34b50c788b")]
   [Item(Name = "CovarianceRationalQuadraticIso",
     Description = "Isotropic rational quadratic covariance function for Gaussian processes.")]

branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/CovarianceFunctions/CovarianceScale.cs

-                      r14185
+                      r14927
 using HeuristicLab.Data;
 using HeuristicLab.Parameters;
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Persistence;
 namespace HeuristicLab.Algorithms.DataAnalysis {
   [StorableClass]
+  [StorableType("5cc3cd9a-6ff9-4cd5-bb15-c39ba5919596")]
   [Item(Name = "CovarianceScale",
     Description = "Scale covariance function for Gaussian processes.")]

branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/CovarianceFunctions/CovarianceSpectralMixture.cs

-                      r14185
+                      r14927
 using HeuristicLab.Data;
 using HeuristicLab.Parameters;
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Persistence;
 namespace HeuristicLab.Algorithms.DataAnalysis {
   [StorableClass]
+  [StorableType("29fd98f8-a362-427f-8d28-cd5c8de80e29")]
   [Item(Name = "CovarianceSpectralMixture",
     Description = "The spectral mixture kernel described in Wilson A. G. and Adams R.P., Gaussian Process Kernels for Pattern Discovery and Exptrapolation, ICML 2013.")]

branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/CovarianceFunctions/CovarianceSquaredExponentialArd.cs

-                      r14185
+                      r14927
 using HeuristicLab.Data;
 using HeuristicLab.Parameters;
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Persistence;
 namespace HeuristicLab.Algorithms.DataAnalysis {
   [StorableClass]
+  [StorableType("305128f4-a64e-4396-adf3-6c7a0b7e5a54")]
   [Item(Name = "CovarianceSquaredExponentialArd", Description = "Squared exponential covariance function with automatic relevance determination for Gaussian processes.")]
   public sealed class CovarianceSquaredExponentialArd : ParameterizedNamedItem, ICovarianceFunction {

branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/CovarianceFunctions/CovarianceSquaredExponentialIso.cs

-                      r14185
+                      r14927
 using HeuristicLab.Data;
 using HeuristicLab.Parameters;
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Persistence;
 namespace HeuristicLab.Algorithms.DataAnalysis {
   [StorableClass]
+  [StorableType("7cb73b3a-a9ef-499c-afba-5d4f9f84fbd9")]
   [Item(Name = "CovarianceSquaredExponentialIso",
     Description = "Isotropic squared exponential covariance function for Gaussian processes.")]

branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/CovarianceFunctions/CovarianceSum.cs

-                      r14185
+                      r14927
 using HeuristicLab.Common;
 using HeuristicLab.Core;
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Persistence;
 namespace HeuristicLab.Algorithms.DataAnalysis {
   [StorableClass]
+  [StorableType("8db41291-bc6e-40d7-92cc-5690853edb8c")]
   [Item(Name = "CovarianceSum",
     Description = "Sum covariance function for Gaussian processes.")]

Note: See TracChangeset for help on using the changeset viewer.

Context Navigation

Changeset 14927 for branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/CovarianceFunctions

Legend:

Download in other formats: