Changeset 14927 for branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/BaselineClassifiers

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/BaselineClassifiers

Files:

• OneFactorClassificationModel.cs (modified) (1 diff)
• OneFactorClassificationSolution.cs (modified) (1 diff)
• OneR.cs (modified) (2 diffs)
• OneRClassificationModel.cs (modified) (1 diff)
• OneRClassificationSolution.cs (modified) (1 diff)
• ZeroR.cs (modified) (2 diffs)

branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/BaselineClassifiers/OneFactorClassificationModel.cs

@@ -25 +25 @@
 using HeuristicLab.Common;
 using HeuristicLab.Core;
-using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Persistence;
 using HeuristicLab.Problems.DataAnalysis;
 
 namespace HeuristicLab.Algorithms.DataAnalysis {
-  [StorableClass]
+  [StorableType("ffc9c4c8-a5ac-42da-8110-bcb9addb2f64")]
   [Item("OneFactor Classification Model", "A model that uses only one categorical feature (factor) to determine the class.")]
   public sealed class OneFactorClassificationModel : ClassificationModel {

branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/BaselineClassifiers/OneFactorClassificationSolution.cs

@@ -22 +22 @@
 using HeuristicLab.Common;
 using HeuristicLab.Core;
-using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Persistence;
 using HeuristicLab.Problems.DataAnalysis;
 
 namespace HeuristicLab.Algorithms.DataAnalysis {
-  [StorableClass]
+  [StorableType("8d979771-aa10-488f-8839-5243eac1c4b6")]
   [Item(Name = "OneR Classification Solution", Description = "Represents a OneR classification solution which uses only a single factor for class prediction.")]
   public sealed class OneFactorClassificationSolution : ClassificationSolution {

branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/BaselineClassifiers/OneR.cs

@@ -29 +29 @@
 using HeuristicLab.Optimization;
 using HeuristicLab.Parameters;
-using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Persistence;
 using HeuristicLab.Problems.DataAnalysis;
 
@@ -37 +37 @@
   /// </summary>
   [Item("OneR Classification", "A simple classification algorithm the searches the best single-variable split (does not support categorical features correctly). See R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.")]
-  [StorableClass]
+  [StorableType("91ed1a56-9638-4834-96eb-f4990e3e4fd8")]
   public sealed class OneR : FixedDataAnalysisAlgorithm<IClassificationProblem> {
 

branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/BaselineClassifiers/OneRClassificationModel.cs

@@ -25 +25 @@
 using HeuristicLab.Common;
 using HeuristicLab.Core;
-using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Persistence;
 using HeuristicLab.Problems.DataAnalysis;
 
 namespace HeuristicLab.Algorithms.DataAnalysis {
-  [StorableClass]
+  [StorableType("67b1e15e-6954-47b2-8123-cbf764881e7c")]
   [Item("OneR Classification Model", "A model that uses intervals for one variable to determine the class.")]
   public sealed class OneRClassificationModel : ClassificationModel {

branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/BaselineClassifiers/OneRClassificationSolution.cs

@@ -22 +22 @@
 using HeuristicLab.Common;
 using HeuristicLab.Core;
-using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Persistence;
 using HeuristicLab.Problems.DataAnalysis;
 
 namespace HeuristicLab.Algorithms.DataAnalysis {
-  [StorableClass]
+  [StorableType("d1e09548-4575-4c93-90d8-fc36a0045ab2")]
   [Item(Name = "OneR Classification Solution", Description = "Represents a OneR classification solution which uses only a single feature with potentially multiple thresholds for class prediction.")]
   public sealed class OneRClassificationSolution : ClassificationSolution {

branches/PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/BaselineClassifiers/ZeroR.cs

@@ -25 +25 @@
 using HeuristicLab.Core;
 using HeuristicLab.Optimization;
-using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HeuristicLab.Persistence;
 using HeuristicLab.Problems.DataAnalysis;
 
@@ -33 +33 @@
   /// </summary>
   [Item("ZeroR Classification", "The simplest possible classifier, ZeroR always predicts the majority class.")]
-  [StorableClass]
+  [StorableType("a282ab2a-a50f-4c7f-bcd1-0f046c5ee309")]
   public sealed class ZeroR : FixedDataAnalysisAlgorithm<IClassificationProblem> {