Changeset 13874 for branches/HeuristicLab.VariableInteractionNetworks/HeuristicLab.VariableInteractionNetworks.Views/3.3/RunCollectionVariableInteractionNetworkView.cs

Timestamp:

06/06/16 14:48:09 (7 years ago)

Author:

bburlacu

Message:

#2288: Small refactoring.

File:

• branches/HeuristicLab.VariableInteractionNetworks/HeuristicLab.VariableInteractionNetworks.Views/3.3/RunCollectionVariableInteractionNetworkView.cs (modified) (5 diffs)

branches/HeuristicLab.VariableInteractionNetworks/HeuristicLab.VariableInteractionNetworks.Views/3.3/RunCollectionVariableInteractionNetworkView.cs

@@ -233 +233 @@
           var junctionLabel = Concatenate(variableList);
           IVertex junctionNode;
+          var sb = new StringBuilder();
           if (!nodes.TryGetValue(junctionLabel, out junctionNode)) {
             var solutionsEnsemble = CreateEnsembleSolution(targetRuns);
-            junctionNode = new JunctionNetworkNode { Label = string.Empty, Data = solutionsEnsemble };
+            junctionNode = new JunctionNetworkNode { Label = solutionsEnsemble.TrainingRSquared.ToString("N3", CultureInfo.CurrentCulture), Data = solutionsEnsemble };
             vn.AddVertex(junctionNode);
             nodes[junctionLabel] = junctionNode;
-            junctionNode.Label = solutionsEnsemble.TrainingRSquared.ToString("N3", CultureInfo.CurrentCulture);
+            sb.AppendLine(junctionNode.Label);
           }
           IArc arc;
@@ -249 +250 @@
             }
             arc = new Arc(variableNode, junctionNode) { Weight = impact, Label = impact.ToString("N3", CultureInfo.CurrentCulture) };
+            sb.AppendLine(v + ": " + arc.Label);
             vn.AddArc(arc);
           }
-          var trainingR2 = ((IRegressionSolution)((JunctionNetworkNode)junctionNode).Data).TrainingRSquared;
+          var jcnNode = (JunctionNetworkNode)junctionNode;
+          var trainingR2 = ((IRegressionSolution)jcnNode.Data).TrainingRSquared;
           arc = new Arc(junctionNode, targetNode) { Weight = junctionNode.InArcs.Sum(x => x.Weight), Label = trainingR2.ToString("N3", CultureInfo.CurrentCulture) };
           vn.AddArc(arc);
@@ -394 +397 @@
       errorProvider.SetError(tb, string.Empty);
       double impact;
-      if (!double.TryParse(tb.Text, out impact))
+      if (!double.TryParse(tb.Text, out impact)) {
         impact = 0.2;
+      }
       var network = ApplyThreshold(variableInteractionNetwork, impact);
       graphChart.Graph = network;
@@ -443 +447 @@
     }
 
+    private void ControlsEnable(bool enabled) {
+      qualityResultNameComboBox.Enabled
+        = impactResultNameComboBox.Enabled
+        = impactAggregationComboBox.Enabled
+        = impactThresholdTextBox.Enabled
+        = onlineImpactCalculationButton.Enabled
+        = edgeRoutingComboBox.Enabled
+        = idealEdgeLengthTextBox.Enabled = enabled;
+    }
+
     private void onlineImpactCalculationButton_Click(object sender, EventArgs args) {
-      var button = (Button)sender;
       var worker = new BackgroundWorker();
       worker.DoWork += (o, e) => {
-        button.Enabled = false;
+        ControlsEnable(false);
         var impacts = CalculateVariableImpactsOnline(Content, false);
         variableInteractionNetwork = CreateNetwork(impacts);
@@ -453 +466 @@
         graphChart.Graph = ApplyThreshold(variableInteractionNetwork, threshold);
       };
-      worker.RunWorkerCompleted += (o, e) => button.Enabled = true;
+      worker.RunWorkerCompleted += (o, e) => ControlsEnable(true);
       worker.RunWorkerAsync();
     }