Changeset 16386 for branches/2925_AutoDiffForDynamicalModels/HeuristicLab.Algorithms.DataAnalysis/3.4/NearestNeighbour

Timestamp:

12/15/18 12:07:16 (6 years ago)

Author:

gkronber

Message:

#2925 merged changes r15972:16382 from trunk to branch

Location:

branches/2925_AutoDiffForDynamicalModels

Files:

• . (modified) (1 prop)
• HeuristicLab.Algorithms.DataAnalysis (modified) (1 prop)
• HeuristicLab.Algorithms.DataAnalysis/3.4 (modified) (1 prop)
• HeuristicLab.Algorithms.DataAnalysis/3.4/NearestNeighbour/NearestNeighbourModel.cs (modified) (2 diffs)

branches/2925_AutoDiffForDynamicalModels/HeuristicLab.Algorithms.DataAnalysis/3.4/NearestNeighbour/NearestNeighbourModel.cs

@@ -130 +130 @@
           // automatic determination of weights (all features should have variance = 1)
           this.weights = this.allowedInputVariables
-            .Select(name => 1.0 / dataset.GetDoubleValues(name, rows).StandardDeviationPop())
+            .Select(name => {
+              var pop = dataset.GetDoubleValues(name, rows).StandardDeviationPop();
+              return  pop.IsAlmost(0) ? 1.0 : 1.0/pop;
+            })
             .Concat(new double[] { 1.0 }) // no scaling for target variable
             .ToArray();
@@ -259 +262 @@
 
 
+    public bool IsProblemDataCompatible(IRegressionProblemData problemData, out string errorMessage) {
+      return RegressionModel.IsProblemDataCompatible(this, problemData, out errorMessage);
+    }
+
+    public override bool IsProblemDataCompatible(IDataAnalysisProblemData problemData, out string errorMessage) {
+      if (problemData == null) throw new ArgumentNullException("problemData", "The provided problemData is null.");
+
+      var regressionProblemData = problemData as IRegressionProblemData;
+      if (regressionProblemData != null)
+        return IsProblemDataCompatible(regressionProblemData, out errorMessage);
+
+      var classificationProblemData = problemData as IClassificationProblemData;
+      if (classificationProblemData != null)
+        return IsProblemDataCompatible(classificationProblemData, out errorMessage);
+
+      throw new ArgumentException("The problem data is not a regression nor a classification problem data. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
+    }
+
     IRegressionSolution IRegressionModel.CreateRegressionSolution(IRegressionProblemData problemData) {
       return new NearestNeighbourRegressionSolution(this, new RegressionProblemData(problemData));