Changeset 10220 for branches/DataPreprocessing/HeuristicLab.DataPreprocessing/3.3/Implementations/PreprocessingData.cs

Timestamp:

12/11/13 16:28:05 (10 years ago)

Author:

tsteinre

Message:

• implemented ExportToDataset for IPreprocessingData

File:

• branches/DataPreprocessing/HeuristicLab.DataPreprocessing/3.3/Implementations/PreprocessingData.cs (modified) (4 diffs)

branches/DataPreprocessing/HeuristicLab.DataPreprocessing/3.3/Implementations/PreprocessingData.cs

@@ -26 +26 @@
 using HeuristicLab.Common;
 using HeuristicLab.Core;
+using HeuristicLab.Data;
 using HeuristicLab.Problems.DataAnalysis;
-using HeuristicLab.Data;
 
 namespace HeuristicLab.DataPreprocessing {
@@ -42 +42 @@
 
     private double trainingToTestRatio;
-  
+
     private PreprocessingData(PreprocessingData original, Cloner cloner)
       : base(original, cloner) {
@@ -109 +109 @@
     public IEnumerable<T> GetValues<T>(string variableName) {
       // TODO: test if cast is valid
-      return (IEnumerable<T>)variableValues[variableName]; 
+      return (IEnumerable<T>)variableValues[variableName];
     }
 
@@ -183 +183 @@
         return GetValues<string>(variableName).Select((s, i) => new { i, s }).Where(t => string.IsNullOrEmpty(t.s)).Select(t => t.i);
       } else if (IsType<DateTime>(variableName)) {
-          return GetValues<DateTime>(variableName).Select((s, i) => new { i, s }).Where(t => t.s.Equals(DateTime.MinValue)).Select(t => t.i);
+        return GetValues<DateTime>(variableName).Select((s, i) => new { i, s }).Where(t => t.s.Equals(DateTime.MinValue)).Select(t => t.i);
       } else {
         throw new ArgumentException("column with variableName: " + variableName + " contains a non supported type.");
       }
+    }
+
+    #endregion
+
+    #region IPreprocessingData Members
+
+    public Dataset ExportToDataset() {
+      IList<IList> values = new List<IList>();
+      foreach (var variable in VariableNames) {
+        values.Add(variableValues[variable]);
+      }
+
+      var dataset = new Dataset(variableNames, values);
+      return dataset;
     }