Changeset 14401 for branches/symbreg-factors-2650/HeuristicLab.DataPreprocessing

Timestamp:

11/17/16 15:43:43 (8 years ago)

Author:

gkronber

Message:

#2650: merged r14378:14400 from trunk to branch

Location:

branches/symbreg-factors-2650

Files:

• . (modified) (1 prop)
• HeuristicLab.DataPreprocessing/3.4 (modified) (1 prop)
• HeuristicLab.DataPreprocessing/3.4/Data/FilteredPreprocessingData.cs (modified) (1 diff)
• HeuristicLab.DataPreprocessing/3.4/Data/IPreprocessingData.cs (modified) (1 diff)
• HeuristicLab.DataPreprocessing/3.4/Data/PreprocessingData.cs (modified) (3 diffs)

branches/symbreg-factors-2650/HeuristicLab.DataPreprocessing/3.4/Data/FilteredPreprocessingData.cs

@@ -47 +47 @@
       get { return ActiveData.VariableNames; }
     }
+
+    public IList<string> InputVariables { get { return ActiveData.InputVariables; } }
+    public string TargetVariable { get { return ActiveData.TargetVariable; } } // optional
 
     public IDictionary<int, IList<int>> Selection {

branches/symbreg-factors-2650/HeuristicLab.DataPreprocessing/3.4/Data/IPreprocessingData.cs

@@ -65 +65 @@
     bool VariableHasType<T>(int columnIndex);
 
+    IList<string> InputVariables { get; }
+    string TargetVariable { get; } // optional
+
     int Columns { get; }
     int Rows { get; }

branches/symbreg-factors-2650/HeuristicLab.DataPreprocessing/3.4/Data/PreprocessingData.cs

@@ -59 +59 @@
     }
 
+    public IList<string> InputVariables { get; private set; }
+    public string TargetVariable { get; private set; } // optional
+
     public int Columns {
       get { return variableNames.Count; }
@@ -82 +85 @@
       TrainingPartition = (IntRange)original.TrainingPartition.Clone(cloner);
       TestPartition = (IntRange)original.TestPartition.Clone(cloner);
-      transformations = new List<ITransformation>();
+      transformations = new List<ITransformation>(original.transformations.Select(cloner.Clone));
+
+      InputVariables = new List<string>(original.InputVariables);
+      TargetVariable = original.TargetVariable;
 
       RegisterEventHandler();
@@ -102 +108 @@
       Dataset dataset = (Dataset)problemData.Dataset;
       variableNames = new List<string>(problemData.Dataset.VariableNames);
+      InputVariables = new List<string>(problemData.AllowedInputVariables);
+      TargetVariable = (problemData is IRegressionProblemData) ? ((IRegressionProblemData)problemData).TargetVariable
+        : (problemData is IClassificationProblemData) ? ((IClassificationProblemData)problemData).TargetVariable
+        : null;
 
       int columnIndex = 0;