Changeset 15428 for branches/M5Regression/HeuristicLab.Algorithms.DataAnalysis/3.4/KernelRidgeRegression/KernelRidgeRegression.cs

Timestamp:

10/23/17 12:37:42 (7 years ago)

Author:

bwerth

Message:

#2847 created initial branch

Location:

branches/M5Regression

Files:

• . (added)
• HeuristicLab.Algorithms.DataAnalysis (copied) (copied from trunk/sources/HeuristicLab.Algorithms.DataAnalysis)
• HeuristicLab.Algorithms.DataAnalysis/3.4/KernelRidgeRegression/KernelRidgeRegression.cs (modified) (4 diffs)

branches/M5Regression/HeuristicLab.Algorithms.DataAnalysis/3.4/KernelRidgeRegression/KernelRidgeRegression.cs

@@ -46 +46 @@
     }
     public new IRegressionProblem Problem {
-      get { return (IRegressionProblem)base.Problem; }
+      get { return (IRegressionProblem) base.Problem; }
       set { base.Problem = value; }
     }
@@ -59 +59 @@
     #region parameter properties
     public IConstrainedValueParameter<IKernel> KernelParameter {
-      get { return (IConstrainedValueParameter<IKernel>)Parameters[KernelParameterName]; }
+      get { return (IConstrainedValueParameter<IKernel>) Parameters[KernelParameterName]; }
     }
 
     public IFixedValueParameter<BoolValue> ScaleInputVariablesParameter {
-      get { return (IFixedValueParameter<BoolValue>)Parameters[ScaleInputVariablesParameterName]; }
+      get { return (IFixedValueParameter<BoolValue>) Parameters[ScaleInputVariablesParameterName]; }
     }
 
     public IFixedValueParameter<DoubleValue> LogLambdaParameter {
-      get { return (IFixedValueParameter<DoubleValue>)Parameters[LambdaParameterName]; }
+      get { return (IFixedValueParameter<DoubleValue>) Parameters[LambdaParameterName]; }
     }
 
     public IFixedValueParameter<DoubleValue> BetaParameter {
-      get { return (IFixedValueParameter<DoubleValue>)Parameters[BetaParameterName]; }
+      get { return (IFixedValueParameter<DoubleValue>) Parameters[BetaParameterName]; }
     }
     #endregion
@@ -99 +99 @@
     private KernelRidgeRegression(bool deserializing) : base(deserializing) { }
     private KernelRidgeRegression(KernelRidgeRegression original, Cloner cloner)
-      : base(original, cloner) {
-    }
+      : base(original, cloner) { }
     public KernelRidgeRegression() {
       Problem = new RegressionProblem();
@@ -132 +131 @@
           .Average());
       }
-      var solution = model.CreateRegressionSolution((IRegressionProblemData)problemData.Clone());
+      var solution = model.CreateRegressionSolution((IRegressionProblemData) problemData.Clone());
       solution.Model.Name = "Kernel ridge regression model";
       solution.Name = SolutionResultName;