Changeset 12956 for branches/PerformanceComparison/HeuristicLab.Optimization.Views/3.3/RunCollectionViews

Timestamp:

09/19/15 21:20:01 (9 years ago)

Author:

abeham

Message:

#2431: Extracted class that calculates ERT values from runs

File:

• branches/PerformanceComparison/HeuristicLab.Optimization.Views/3.3/RunCollectionViews/RunCollectionRLDView.cs (modified) (3 diffs)

branches/PerformanceComparison/HeuristicLab.Optimization.Views/3.3/RunCollectionViews/RunCollectionRLDView.cs

@@ -423 +423 @@
       var maximization = IsMaximization();
 
-      var targetsPerProblem = CalculateBestTargetPerProblemInstance((string)dataTableComboBox.SelectedItem, maximization);
+      var tableName = (string)dataTableComboBox.SelectedItem;
+      if (string.IsNullOrEmpty(tableName)) return;
+
+      var targetsPerProblem = CalculateBestTargetPerProblemInstance(tableName, maximization);
 
       var colNames = new string[columns];
@@ -448 +451 @@
           }
           var runs = group.Value[problem].Item2;
-          var bestSucc = string.Empty;
+          ErtCalculationResult result = default(ErtCalculationResult);
           for (var i = 0; i < targets.Length; i++) {
-            string succ;
-            matrix[rowCount, i + 1] = CalculateExpectedRunTime(runs, (maximization ? (1 - targets[i]) : (1 + targets[i])) * group.Value[problem].Item1, maximization, out succ);
-            if (i == targets.Length - 1) bestSucc = succ;
-          }
-          matrix[rowCount, columns - 1] = bestSucc;
+            result = ExpectedRuntimeHelper.CalculateErt(runs, tableName, (maximization ? (1 - targets[i]) : (1 + targets[i])) * group.Value[problem].Item1, maximization);
+            matrix[rowCount, i + 1] = result.ToString();
+          }
+          matrix[rowCount, columns - 1] = targets.Length > 0 ? result.SuccessfulRuns + "/" + result.TotalRuns : "-";
           rowCount++;
         }
@@ -462 +464 @@
     }
 
-    private string CalculateExpectedRunTime(List<IRun> group, double target, bool maximization, out string successProb) {
-      var table = (string)dataTableComboBox.SelectedItem;
-      successProb = "-";
-      if (string.IsNullOrEmpty(table)) return "N/A";
-      var successful = new List<double>();
-      var unsuccessful = new List<double>();
-      foreach (var r in group) {
-        var targetAchieved = false;
-        var row = ((IndexedDataTable<double>)r.Results[table]).Rows.First();
-        foreach (var v in row.Values) {
-          if (maximization && v.Item2 >= target || !maximization && v.Item2 <= target) {
-            successful.Add(v.Item1);
-            targetAchieved = true;
-            break;
-          }
-        }
-        if (!targetAchieved) unsuccessful.Add(row.Values.Last().Item1);
-      }
-      successProb = successful.Count + "/" + (successful.Count + unsuccessful.Count);
-      if (successful.Count == 0) return "\u221e"; // infinity symbol
-      if (unsuccessful.Count == 0) return successful.Average().ToString("##,0.0", CultureInfo.CurrentCulture.NumberFormat);
-
-      var ps = successful.Count / (double)(successful.Count + unsuccessful.Count);
-      return (successful.Average() + ((1.0 - ps) / ps) * unsuccessful.Average()).ToString("##,0.0", CultureInfo.CurrentCulture.NumberFormat);
-    }
+
     #endregion