Changeset 7610 for branches/ProblemInstancesRegressionAndClassification/HeuristicLab.Problems.Instances.Regression/3.4/Keijzer/KeijzerInstanceProvider.cs

Timestamp:

03/13/12 15:33:19 (12 years ago)

Author:

sforsten

Message:

#1784:

• added export button and corrected the LoadData in RegressionInstanceProvider
• added RegressionProblemView

Location:

branches/ProblemInstancesRegressionAndClassification/HeuristicLab.Problems.Instances.Regression/3.4

Files:

• . (modified) (1 prop)
• Keijzer/KeijzerInstanceProvider.cs (modified) (2 diffs)

branches/ProblemInstancesRegressionAndClassification/HeuristicLab.Problems.Instances.Regression/3.4/Keijzer/KeijzerInstanceProvider.cs

@@ -20 +20 @@
 #endregion
 
-
 using System;
 using System.Collections.Generic;
+
 namespace HeuristicLab.Problems.Instances.Regression {
-  public class KeijzerInstanceProvider : ArtificialRegressionInstanceProvider {
+  public class KeijzerInstanceProvider : ArtificialRegressionInstanceProvider, IProblemInstanceProvider<RegressionData> {
     public override string Name {
       get { return "Keijzer Benchmark Problems"; }
@@ -43 +43 @@
       return descriptorList;
     }
+
+    /*#region delete after test
+    public RegressionData LoadData(IDataDescriptor descriptor) {
+      throw new NotImplementedException();
+    }
+
+    public RegressionData LoadData(string path) {
+      TableFileParser csvFileParser = new TableFileParser();
+      csvFileParser.Parse(path);
+
+      RegressionData regData = new RegressionData();
+      regData.Name = path;
+      regData.InputVariables = new List<string>(csvFileParser.VariableNames);
+      regData.TargetVariable = csvFileParser.VariableNames.Last();
+      //convert to multidimensional array
+      double[][] values = csvFileParser.Values.Cast<double[]>().ToArray();
+      regData.Values = new double[values.GetLength(0), values.GetLength(1)];
+      for (int i = 0; i < values.GetLength(0); i++) {
+        for (int j = 0; j < values.GetLength(1); j++) {
+          regData.Values[i, j] = values[i][j];
+        }
+      }
+
+      int trainingPartEnd = csvFileParser.Rows * 2 / 3;
+      regData.TrainingPartitionStart = 0;
+      regData.TrainingPartitionEnd = trainingPartEnd;
+      regData.TestPartitionStart = trainingPartEnd;
+      regData.TestPartitionEnd = csvFileParser.Rows;
+      return regData;
+    }
+
+    public void SaveData(RegressionData instance, string path) {
+      StringBuilder strBuilder = new StringBuilder();
+
+      foreach (var variable in instance.InputVariables) {
+        strBuilder.Append(variable + ";");
+      }
+      strBuilder.Remove(strBuilder.Length - 1, 1);
+      strBuilder.AppendLine();
+
+      double[,] values = instance.Values;
+
+      for (int i = 0; i < values.GetLength(0); i++) {
+        for (int j = 0; j < values.GetLength(1); j++) {
+          strBuilder.Append(values[i, j] + ";");
+        }
+        strBuilder.Remove(strBuilder.Length - 1, 1);
+        strBuilder.AppendLine();
+      }
+
+      using (StreamWriter writer = new StreamWriter(path)) {
+        writer.Write(strBuilder);
+      }
+    }
+    #endregion
+
+    #region IProblemInstanceProvider<RegressionData> Members
+
+    public IProblemInstanceConsumer<RegressionData> Consumer {
+      get {
+        return new RegressionProblem();
+      }
+      set {
+        throw new NotImplementedException();
+      }
+    }
+
+    #endregion       */
   }
 }