Changeset 8660 for branches/GP-MoveOperators/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Classification/CSV/ClassifiactionCSVInstanceProvider.cs

Timestamp:

09/14/12 18:58:15 (12 years ago)

Author:

gkronber

Message:

#1847 merged r8205:8635 from trunk into branch

Location:

branches/GP-MoveOperators

Files:

• . (modified) (2 props)
• HeuristicLab.Problems.Instances.DataAnalysis/3.3/Classification/CSV/ClassifiactionCSVInstanceProvider.cs (modified) (4 diffs)

branches/GP-MoveOperators

@@ -21 +21 @@
 protoc.exe
 _ReSharper.HeuristicLab 3.3 Tests
+Google.ProtocolBuffers-2.4.1.473.dll

@@ -21 +21 @@
 protoc.exe
 _ReSharper.HeuristicLab 3.3 Tests
+Google.ProtocolBuffers-2.4.1.473.dll

branches/GP-MoveOperators/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Classification/CSV/ClassifiactionCSVInstanceProvider.cs

@@ -21 +21 @@
 
 using System;
+using System.Collections;
 using System.Collections.Generic;
+using System.Globalization;
 using System.IO;
 using System.Linq;
 using System.Text;
+using HeuristicLab.Common;
 using HeuristicLab.Problems.DataAnalysis;
 
@@ -30 +33 @@
   public class ClassificationCSVInstanceProvider : ClassificationInstanceProvider {
     public override string Name {
-      get { return "Comma-separated Values File"; }
+      get { return "CSV File"; }
     }
     public override string Description {
@@ -61 +64 @@
 
       Dataset dataset = new Dataset(csvFileParser.VariableNames, csvFileParser.Values);
-      string targetVar = csvFileParser.VariableNames.Where(x => dataset.DoubleVariables.Contains(x)).Last();
-      IEnumerable<string> allowedInputVars = dataset.DoubleVariables.Where(x => !x.Equals(targetVar));
+      string targetVar = dataset.DoubleVariables.Last();
 
-      ClassificationProblemData claData = new ClassificationProblemData(dataset, allowedInputVars, targetVar);
-
-      int trainingPartEnd = csvFileParser.Rows * 2 / 3;
-      claData.TrainingPartition.Start = 0;
-      claData.TrainingPartition.End = trainingPartEnd;
-      claData.TestPartition.Start = trainingPartEnd;
-      claData.TestPartition.End = csvFileParser.Rows;
-      int pos = path.LastIndexOf('\\');
-      if (pos < 0)
-        claData.Name = path;
-      else {
-        pos++;
-        claData.Name = path.Substring(pos, path.Length - pos);
+      // turn of input variables that are constant in the training partition
+      var allowedInputVars = new List<string>();
+      var trainingIndizes = Enumerable.Range(0, (csvFileParser.Rows * 2) / 3);
+      if (trainingIndizes.Count() >= 2) {
+        foreach (var variableName in dataset.DoubleVariables) {
+          if (dataset.GetDoubleValues(variableName, trainingIndizes).Range() > 0 &&
+            variableName != targetVar)
+            allowedInputVars.Add(variableName);
+        }
+      } else {
+        allowedInputVars.AddRange(dataset.DoubleVariables.Where(x => x.Equals(targetVar)));
       }
 
-      return claData;
+      ClassificationProblemData classificationData = new ClassificationProblemData(dataset, allowedInputVars, targetVar);
+
+      int trainingPartEnd = trainingIndizes.Last();
+      classificationData.TrainingPartition.Start = trainingIndizes.First();
+      classificationData.TrainingPartition.End = trainingPartEnd;
+      classificationData.TestPartition.Start = trainingPartEnd;
+      classificationData.TestPartition.End = csvFileParser.Rows;
+
+      classificationData.Name = Path.GetFileName(path);
+
+      return classificationData;
+    }
+
+    public override IClassificationProblemData ImportData(string path, DataAnalysisImportType type) {
+      TableFileParser csvFileParser = new TableFileParser();
+      csvFileParser.Parse(path);
+
+      List<IList> values = csvFileParser.Values;
+      if (type.Shuffle) {
+        values = Shuffle(values);
+      }
+
+      Dataset dataset = new Dataset(csvFileParser.VariableNames, values);
+      string targetVar = dataset.DoubleVariables.Last();
+
+      // turn of input variables that are constant in the training partition
+      var allowedInputVars = new List<string>();
+      int trainingPartEnd = (csvFileParser.Rows * type.Training) / 100;
+      var trainingIndizes = Enumerable.Range(0, trainingPartEnd);
+      foreach (var variableName in dataset.DoubleVariables) {
+        if (trainingIndizes.Count() >= 2 && dataset.GetDoubleValues(variableName, trainingIndizes).Range() > 0 &&
+          variableName != targetVar)
+          allowedInputVars.Add(variableName);
+      }
+
+      ClassificationProblemData classificationData = new ClassificationProblemData(dataset, allowedInputVars, targetVar);
+
+      classificationData.TrainingPartition.Start = 0;
+      classificationData.TrainingPartition.End = trainingPartEnd;
+      classificationData.TestPartition.Start = trainingPartEnd;
+      classificationData.TestPartition.End = csvFileParser.Rows;
+
+      classificationData.Name = Path.GetFileName(path);
+
+      return classificationData;
     }
 
@@ -86 +130 @@
     }
     public override void ExportData(IClassificationProblemData instance, string path) {
-      StringBuilder strBuilder = new StringBuilder();
+      var strBuilder = new StringBuilder();
 
       foreach (var variable in instance.InputVariables) {
-        strBuilder.Append(variable + ";");
+        strBuilder.Append(variable + CultureInfo.CurrentCulture.TextInfo.ListSeparator);
       }
-      strBuilder.Remove(strBuilder.Length - 1, 1);
+      strBuilder.Remove(strBuilder.Length - CultureInfo.CurrentCulture.TextInfo.ListSeparator.Length, CultureInfo.CurrentCulture.TextInfo.ListSeparator.Length);
       strBuilder.AppendLine();
 
-      Dataset dataset = instance.Dataset;
+      var dataset = instance.Dataset;
 
       for (int i = 0; i < dataset.Rows; i++) {
         for (int j = 0; j < dataset.Columns; j++) {
-          strBuilder.Append(dataset.GetValue(i, j) + ";");
+          if (j > 0) strBuilder.Append(CultureInfo.CurrentCulture.TextInfo.ListSeparator);
+          strBuilder.Append(dataset.GetValue(i, j));
         }
-        strBuilder.Remove(strBuilder.Length - 1, 1);
         strBuilder.AppendLine();
       }
 
-      using (StreamWriter writer = new StreamWriter(path)) {
+      using (var writer = new StreamWriter(path)) {
         writer.Write(strBuilder);
       }

@@ -21 +21 @@
 protoc.exe
 _ReSharper.HeuristicLab 3.3 Tests
+Google.ProtocolBuffers-2.4.1.473.dll