Changeset 16829 for branches/2994-AutoDiffForIntervals/HeuristicLab.Algorithms.DataAnalysis

Timestamp:

04/19/19 09:09:45 (6 years ago)

Author:

gkronber

Message:

#2994: merged changesets r16740:16822 from trunk to branch

Location:

branches/2994-AutoDiffForIntervals

Files:

• . (modified) (1 prop)
• HeuristicLab.Algorithms.DataAnalysis (modified) (1 prop)
• HeuristicLab.Algorithms.DataAnalysis/3.4 (modified) (1 prop)
• HeuristicLab.Algorithms.DataAnalysis/3.4/GradientBoostedTrees/RegressionTreeModel.cs (modified) (1 diff)
• HeuristicLab.Algorithms.DataAnalysis/3.4/NearestNeighbour/NearestNeighbourModel.cs (modified) (1 diff)
• HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkEnsembleModel.cs (modified) (5 diffs)
• HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkModel.cs (modified) (1 diff)
• HeuristicLab.Algorithms.DataAnalysis/3.4/RandomForest/RandomForestModel.cs (modified) (1 diff)
• HeuristicLab.Algorithms.DataAnalysis/3.4/SupportVectorMachine/SupportVectorMachineModel.cs (modified) (1 diff)

branches/2994-AutoDiffForIntervals/HeuristicLab.Algorithms.DataAnalysis/3.4/GradientBoostedTrees/RegressionTreeModel.cs

@@ -91 +91 @@
     #region old storable format
     // remove with HL 3.4
-    [Storable(AllowOneWay = true)]
+    [Storable(OldName = "SerializedTree")]
     // to prevent storing the references to data caches in nodes
     // seemingly, it is bad (performance-wise) to persist tuples (tuples are used as keys in a dictionary)

branches/2994-AutoDiffForIntervals/HeuristicLab.Algorithms.DataAnalysis/3.4/NearestNeighbour/NearestNeighbourModel.cs

@@ -294 +294 @@
         return IsProblemDataCompatible(classificationProblemData, out errorMessage);
 
-      throw new ArgumentException("The problem data is not a regression nor a classification problem data. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
+      throw new ArgumentException("The problem data is not compatible with this nearest neighbour model. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
     }
 

branches/2994-AutoDiffForIntervals/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkEnsembleModel.cs

@@ -144 +144 @@
         return IsProblemDataCompatible(classificationProblemData, out errorMessage);
 
-      throw new ArgumentException("The problem data is not a regression nor a classification problem data. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
+      throw new ArgumentException("The problem data is not compatible with this neural network ensemble. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
     }
 
@@ -153 +153 @@
       return new NeuralNetworkEnsembleClassificationSolution(this, new ClassificationEnsembleProblemData(problemData));
     }
-   
+
     #region persistence
     [Storable]
@@ -183 +183 @@
       }
     }
-    [Storable(AllowOneWay = true)]
+    [Storable(OldName = "MultiLayerPerceptronEnsembleDfdnet")]
     private double[] MultiLayerPerceptronEnsembleDfdnet {
       set {
@@ -197 +197 @@
       }
     }
-    [Storable(AllowOneWay = true)]
+    [Storable(OldName = "MultiLayerPerceptronEnsembleNeurons")]
     private double[] MultiLayerPerceptronEnsembleNeurons {
       set { mlpEnsemble.innerobj.network.neurons = value; }
     }
-    [Storable(AllowOneWay = true)]
+    [Storable(OldName = "MultiLayerPerceptronEnsembleSerializedMlp")]
     private double[] MultiLayerPerceptronEnsembleSerializedMlp {
       set {
@@ -207 +207 @@
       }
     }
-    [Storable(AllowOneWay = true)]
+    [Storable(OldName = "MultiLayerPerceptronStuctinfo")]
     private int[] MultiLayerPerceptronStuctinfo {
       set {

branches/2994-AutoDiffForIntervals/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkModel.cs

@@ -147 +147 @@
         return IsProblemDataCompatible(classificationProblemData, out errorMessage);
 
-      throw new ArgumentException("The problem data is not a regression nor a classification problem data. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
+      throw new ArgumentException("The problem data is not compatible with this neural network. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
     }
 

branches/2994-AutoDiffForIntervals/HeuristicLab.Algorithms.DataAnalysis/3.4/RandomForest/RandomForestModel.cs

@@ -300 +300 @@
         return IsProblemDataCompatible(classificationProblemData, out errorMessage);
 
-      throw new ArgumentException("The problem data is not a regression nor a classification problem data. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
+      throw new ArgumentException("The problem data is not compatible with this random forest. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
     }
 

branches/2994-AutoDiffForIntervals/HeuristicLab.Algorithms.DataAnalysis/3.4/SupportVectorMachine/SupportVectorMachineModel.cs

@@ -143 +143 @@
         return IsProblemDataCompatible(classificationProblemData, out errorMessage);
 
-      throw new ArgumentException("The problem data is not a regression nor a classification problem data. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
+      throw new ArgumentException("The problem data is not compatible with this SVM. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
     }