Changeset 14927 for branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/GradientBoostedTrees/LossFunctions

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/GradientBoostedTrees/LossFunctions

Files:

• AbsoluteErrorLoss.cs (modified) (1 diff)
• LogisticRegressionLoss.cs (modified) (1 diff)
• QuantileRegressionLoss.cs (modified) (1 diff)
• RelativeErrorLoss.cs (modified) (1 diff)
• SquaredErrorLoss.cs (modified) (1 diff)

branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/GradientBoostedTrees/LossFunctions/AbsoluteErrorLoss.cs

@@ -25 +25 @@
 using HeuristicLab.Common;
 using HeuristicLab.Core;
-using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Persistence;
 
 namespace HeuristicLab.Algorithms.DataAnalysis {
   // loss function for the weighted absolute error
-  [StorableClass]
+  [StorableType("14d93807-88e6-4485-bd34-068ea19e6d89")]
   [Item("Absolute error loss", "")]
   public sealed class AbsoluteErrorLoss : Item, ILossFunction {

branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/GradientBoostedTrees/LossFunctions/LogisticRegressionLoss.cs

@@ -27 +27 @@
 using HeuristicLab.Common;
 using HeuristicLab.Core;
-using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Persistence;
 
 namespace HeuristicLab.Algorithms.DataAnalysis {
   // Greedy Function Approximation: A Gradient Boosting Machine (page 9) 
-  [StorableClass]
+  [StorableType("aa30e97c-113e-415d-bc34-ec23b5a59918")]
   [Item("Logistic regression loss", "")]
   public sealed class LogisticRegressionLoss : Item, ILossFunction {

branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/GradientBoostedTrees/LossFunctions/QuantileRegressionLoss.cs

@@ -27 +27 @@
 using HeuristicLab.Data;
 using HeuristicLab.Parameters;
-using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Persistence;
 
 namespace HeuristicLab.Algorithms.DataAnalysis {
   // loss function for quantile regression
   // Generalized Boosted Models - A Guide To The gbm Package, Greg Ridgeway, August 2007, page 11 
-  [StorableClass]
+  [StorableType("85e4d0c6-33fe-407d-b98e-bd90c4e14a36")]
   [Item("QuantileRegressionloss", "Loss function for quantile regression")]
   public sealed class QuantileRegressionLoss : ParameterizedNamedItem, ILossFunction {

branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/GradientBoostedTrees/LossFunctions/RelativeErrorLoss.cs

@@ -27 +27 @@
 using HeuristicLab.Common;
 using HeuristicLab.Core;
-using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Persistence;
 
 namespace HeuristicLab.Algorithms.DataAnalysis {
   // relative error loss is a special case of weighted absolute error loss with weights = (1/target)
-  [StorableClass]
+  [StorableType("748e85f8-5ef2-4f4e-ab33-8096fa7d1b61")]
   [Item("Relative error loss", "")]
   public sealed class RelativeErrorLoss : Item, ILossFunction {

branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/GradientBoostedTrees/LossFunctions/SquaredErrorLoss.cs

@@ -26 +26 @@
 using HeuristicLab.Common;
 using HeuristicLab.Core;
-using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Persistence;
 
 namespace HeuristicLab.Algorithms.DataAnalysis {
-  [StorableClass]
+  [StorableType("cf22c7c0-c261-4aa2-a62b-f2c6e8880cd0")]
   [Item("Squared error loss", "")]
   public sealed class SquaredErrorLoss : Item, ILossFunction {