Changeset 11145 for stable/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SymbolicClassificationPruningAnalyzer.cs

Timestamp:

07/08/14 19:29:00 (10 years ago)

Author:

mkommend

Message:

#2143: Merged r10368, r10375, r10378, r10414, r10417, r10418, r10428, r10469, r10470, r11013, r11025, r11026, r11027 into stable.

Location:

stable

Files:

• . (modified) (1 prop)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Classification (modified) (1 prop)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SymbolicClassificationPruningAnalyzer.cs (copied) (copied from trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SymbolicClassificationPruningAnalyzer.cs) (3 diffs)

stable/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SymbolicClassificationPruningAnalyzer.cs

@@ -1 @@
-using System;
+#region License Information
+/* HeuristicLab
+ * Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ *
+ * This file is part of HeuristicLab.
+ *
+ * HeuristicLab is free software: you can redistribute it and/or modify
+ * it under the terms of the GNU General Public License as published by
+ * the Free Software Foundation, either version 3 of the License, or
+ * (at your option) any later version.
+ *
+ * HeuristicLab is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ * GNU General Public License for more details.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
+ */
+#endregion
+
 using HeuristicLab.Common;
 using HeuristicLab.Core;
-using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
 using HeuristicLab.Parameters;
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
@@ -10 +29 @@
   [StorableClass]
   public sealed class SymbolicClassificationPruningAnalyzer : SymbolicDataAnalysisSingleObjectivePruningAnalyzer {
-    private const string ModelCreatorParameterName = "ModelCreator";
-    #region parameter properties
-    public ILookupParameter<ISymbolicClassificationModelCreator> ModelCreatorParameter {
-      get { return (ILookupParameter<ISymbolicClassificationModelCreator>)Parameters[ModelCreatorParameterName]; }
-    }
-    #endregion
-    #region properties
-    private ISymbolicClassificationModelCreator ModelCreator {
-      get { return ModelCreatorParameter.ActualValue; }
-      set { ModelCreatorParameter.ActualValue = value; }
-    }
-    #endregion
-
-    protected SymbolicClassificationPruningAnalyzer(SymbolicClassificationPruningAnalyzer original, Cloner cloner)
+    private const string ImpactValuesCalculatorParameterName = "ImpactValuesCalculator";
+    private const string PruningOperatorParameterName = "PruningOperator";
+    private SymbolicClassificationPruningAnalyzer(SymbolicClassificationPruningAnalyzer original, Cloner cloner)
       : base(original, cloner) {
     }
@@ -30 +38 @@
     }
 
+    [StorableConstructor]
+    private SymbolicClassificationPruningAnalyzer(bool deserializing) : base(deserializing) { }
+
     public SymbolicClassificationPruningAnalyzer() {
-      // pruning parameters
-      Parameters.Add(new LookupParameter<ISymbolicClassificationModelCreator>(ModelCreatorParameterName));
-      impactValuesCalculator = new SymbolicClassificationSolutionImpactValuesCalculator();
-    }
-
-    protected override ISymbolicDataAnalysisModel CreateModel(ISymbolicExpressionTree tree,
-      ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, double lowerEstimationLimit = Double.MinValue,
-      double upperEstimationLimit = Double.MaxValue) {
-      var model = ModelCreator.CreateSymbolicClassificationModel(tree, Interpreter, lowerEstimationLimit, upperEstimationLimit);
-      model.RecalculateModelParameters((IClassificationProblemData)ProblemData, ProblemData.TrainingIndices);
-      return model;
+      Parameters.Add(new ValueParameter<SymbolicDataAnalysisSolutionImpactValuesCalculator>(ImpactValuesCalculatorParameterName, "The impact values calculator", new SymbolicClassificationSolutionImpactValuesCalculator()));
+      Parameters.Add(new ValueParameter<SymbolicDataAnalysisExpressionPruningOperator>(PruningOperatorParameterName, "The operator used to prune trees", new SymbolicClassificationPruningOperator()));
     }
   }