Changeset 2377 for trunk/sources/HeuristicLab.CEDMA.Server/3.3

Timestamp:

09/22/09 11:45:04 (15 years ago)

Author:

gkronber

Message:

• Implemented cloning and persistence in data-modeling algorithms.
• Fixed bugs in CEDMA controller.

#754

Location:

trunk/sources/HeuristicLab.CEDMA.Server/3.3

Files:

• DispatcherView.cs (modified) (3 diffs)
• SimpleDispatcher.cs (modified) (1 diff)

trunk/sources/HeuristicLab.CEDMA.Server/3.3/DispatcherView.cs

@@ -101 +101 @@
       testSamplesStartTextBox.Text = selectedSpec.TestSamplesStart.ToString();
       testSamplesEndTextBox.Text = selectedSpec.TestSamplesEnd.ToString();
+      minTimeOffsetTextBox.Text = selectedSpec.MinTimeOffset.ToString();
+      maxTimeOffsetTextBox.Text = selectedSpec.MaxTimeOffset.ToString();
+      autoregressiveCheckBox.Checked = selectedSpec.AutoRegressive;
     }
 
@@ -134 +137 @@
 
     private void radioButton_CheckedChanged(object sender, EventArgs e) {
-      string selectedTarget = (string)targetVariableList.SelectedItem;
       minTimeOffsetLabel.Enabled = timeSeriesRadioButton.Checked;
       minTimeOffsetTextBox.Enabled = timeSeriesRadioButton.Checked;
@@ -144 +146 @@
       else if (classificationRadioButton.Checked) selectedSpec.LearningTask = LearningTask.Classification;
       else if (regressionRadioButton.Checked) selectedSpec.LearningTask = LearningTask.Regression;
+      var allowedAlgorithms = dispatcher.GetAllowedAlgorithms(selectedSpec.TargetVariable);
+      foreach (var algo in allowedAlgorithms) {
+        dispatcher.DisableAlgorithm(selectedSpec.TargetVariable, algo);
+      }
       UpdateAlgorithms();
     }

trunk/sources/HeuristicLab.CEDMA.Server/3.3/SimpleDispatcher.cs

@@ -145 +145 @@
       if (possibleAlgos.Count() > 0) selectedAlgorithm = possibleAlgos.ElementAt(random.Next(possibleAlgos.Count()));
       if (selectedAlgorithm != null) {
+        // create a clone of the algorithm template before setting the parameters
+        selectedAlgorithm = (HeuristicLab.Modeling.IAlgorithm)selectedAlgorithm.Clone(); 
         SetProblemParameters(selectedAlgorithm, problemSpecifications[targetVariable]);
         if (!(selectedAlgorithm is IStochasticAlgorithm))