Changeset 2454 for trunk/sources/HeuristicLab.LinearRegression/3.2/LinearRegression.cs

Timestamp:

10/29/09 16:07:55 (15 years ago)

Author:

gkronber

Message:

Implemented NodeBasedVariableImpactCalculator. #793

File:

• trunk/sources/HeuristicLab.LinearRegression/3.2/LinearRegression.cs (modified) (3 diffs)

trunk/sources/HeuristicLab.LinearRegression/3.2/LinearRegression.cs

@@ -215 +215 @@
       seq.AddSubOperator(namesExtractor);
       seq.AddSubOperator(predictorBuilder);
+      VariableQualityImpactCalculator qualityImpactCalculator = new VariableQualityImpactCalculator();
+      qualityImpactCalculator.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart";
+      qualityImpactCalculator.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd";
+
+      seq.AddSubOperator(qualityImpactCalculator);
       #endregion
 
       seq.AddSubOperator(CreateModelAnalyzerOperator());
+
+
+
 
       op.OperatorGraph.AddOperator(seq);
@@ -230 +238 @@
     protected virtual IAnalyzerModel CreateLRModel(IScope bestModelScope) {
       var model = new AnalyzerModel();
+      CreateSpecificLRModel(bestModelScope, model);
+      #region variable impacts
+      ItemList qualityImpacts = bestModelScope.GetVariableValue<ItemList>(ModelingResult.VariableQualityImpact.ToString(), false);
+      foreach (ItemList row in qualityImpacts) {
+        string variableName = ((StringData)row[0]).Data;
+        double impact = ((DoubleData)row[1]).Data;
+        model.SetVariableResult(ModelingResult.VariableQualityImpact, variableName, impact);
+        model.AddInputVariable(variableName);
+      }
+      #endregion
+      return model;
+    }
+
+    protected virtual void CreateSpecificLRModel(IScope bestModelScope, IAnalyzerModel model) {
       DefaultRegressionOperators.PopulateAnalyzerModel(bestModelScope, model);
-      return model;
     }
 
@@ -257 +278 @@
     #region persistence
     public override object Clone(IDictionary<Guid, object> clonedObjects) {
-      LinearRegression clone = (LinearRegression) base.Clone(clonedObjects);
+      LinearRegression clone = (LinearRegression)base.Clone(clonedObjects);
       clone.engine = (IEngine)Auxiliary.Clone(Engine, clonedObjects);
       return clone;