Changeset 12373

Timestamp:

05/02/15 14:34:26 (10 years ago)

Author:

gkronber

Message:

#2261: added hidden alg.-parameter to disable solution-creation (this is useful for cross-validation)

File:

• branches/GBT/HeuristicLab.Algorithms.DataAnalysis/3.4/GradientBoostedTrees/GradientBoostedTreesAlgorithm.cs (modified) (6 diffs)

branches/GBT/HeuristicLab.Algorithms.DataAnalysis/3.4/GradientBoostedTrees/GradientBoostedTreesAlgorithm.cs

@@ -62 +62 @@
     private const string LossFunctionParameterName = "LossFunction";
     private const string UpdateIntervalParameterName = "UpdateInterval";
+    private const string CreateSolutionParameterName = "CreateSolution";
     #endregion
 
@@ -91 +92 @@
     public IFixedValueParameter<IntValue> UpdateIntervalParameter {
       get { return (IFixedValueParameter<IntValue>)Parameters[UpdateIntervalParameterName]; }
+    }
+    public IFixedValueParameter<BoolValue> CreateSolutionParameter {
+      get { return (IFixedValueParameter<BoolValue>)Parameters[CreateSolutionParameterName]; }
     }
     #endregion
@@ -122 +126 @@
       get { return MParameter.Value.Value; }
       set { MParameter.Value.Value = value; }
+    }
+    public bool CreateSolution {
+      get { return CreateSolutionParameter.Value.Value; }
+      set { CreateSolutionParameter.Value.Value = value; }
     }
     #endregion
@@ -156 +164 @@
       Parameters.Add(new FixedValueParameter<DoubleValue>(MParameterName, "Ratio of variables selected randomly in each step (0 < M <= 1)", new DoubleValue(0.5)));
       Parameters.Add(new FixedValueParameter<DoubleValue>(NuParameterName, "Learning rate nu (step size for the gradient update, should be small 0 < nu < 0.1)", new DoubleValue(0.002)));
-      Parameters.Add(new FixedValueParameter<IntValue>("UpdateInterval", "", new IntValue(100)));
-      Parameters["UpdateInterval"].Hidden = true;
+      Parameters.Add(new FixedValueParameter<IntValue>(UpdateIntervalParameterName, "", new IntValue(100)));
+      Parameters[UpdateIntervalParameterName].Hidden = true;
+      Parameters.Add(new FixedValueParameter<BoolValue>(CreateSolutionParameterName, "Flag that indicates if a solution should be produced at the end of the run", new BoolValue(true)));
+      Parameters[CreateSolutionParameterName].Hidden = true;
 
       var lossFunctionNames = ApplicationManager.Manager.GetInstances<ILossFunction>().Select(l => new StringValue(l.ToString()).AsReadOnly());
@@ -179 +189 @@
       Results.Add(new Result("Qualities", table));
       var curLoss = new DoubleValue();
-      Results.Add(new Result("Current loss", curLoss));
+      Results.Add(new Result("Loss (train)", curLoss));
 
       // init
@@ -225 +235 @@
 
       Results.Add(new Result("Variable relevance", impacts));
+      Results.Add(new Result("Loss (test)", new DoubleValue(state.GetTestLoss())));
 
       // produce solution 
-      Results.Add(new Result("Solution", new RegressionSolution(state.GetModel(), (IRegressionProblemData)problemData.Clone())));
+      if (CreateSolution)
+        Results.Add(new Result("Solution", new RegressionSolution(state.GetModel(), (IRegressionProblemData)problemData.Clone())));
     }
   }