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Ignore:
Timestamp:
07/06/17 13:07:40 (7 years ago)
Author:
gkronber
Message:

#2699: removed superfluous region names and empty AfterDeserialization hooks

Location:
trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/KernelRidgeRegression
Files:
8 edited

Legend:

Unmodified
Added
Removed

  • trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/KernelRidgeRegression/KernelFunctions/CicularKernel.cs

    r14936 r15156  
    2929  [Item("CircularKernel", "A circular kernel function 2*pi*(acos(-d)-d*(1-d²)^(0.5)) where n = ||x-c|| and d = n/beta \n  As described in http://crsouza.com/2010/03/17/kernel-functions-for-machine-learning-applications/")]
    3030  public class CircularKernel : KernelBase {
    31 
    32     #region HLConstructors & Boilerplate
    3331    [StorableConstructor]
    3432    protected CircularKernel(bool deserializing) : base(deserializing) { }
    35     [StorableHook(HookType.AfterDeserialization)]
    36     private void AfterDeserialization() { }
     33
    3734    protected CircularKernel(CircularKernel original, Cloner cloner) : base(original, cloner) { }
    38     public CircularKernel() {
    39     }
     35
     36    public CircularKernel() { }
     37
    4038    public override IDeepCloneable Clone(Cloner cloner) {
    4139      return new CircularKernel(this, cloner);
    4240    }
    43     #endregion
    4441
    4542    protected override double Get(double norm) {

  • trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/KernelRidgeRegression/KernelFunctions/GaussianKernel.cs

    r14936 r15156  
    3131  [Item("GaussianKernel", "A kernel function that uses Gaussian function exp(-n²/beta²). As described in http://crsouza.com/2010/03/17/kernel-functions-for-machine-learning-applications/")]
    3232  public class GaussianKernel : KernelBase {
    33 
    34     #region HLConstructors & Boilerplate
    3533    [StorableConstructor]
    3634    protected GaussianKernel(bool deserializing) : base(deserializing) { }
    37     [StorableHook(HookType.AfterDeserialization)]
    38     private void AfterDeserialization() { }
     35
    3936    protected GaussianKernel(GaussianKernel original, Cloner cloner) : base(original, cloner) { }
     37
    4038    public GaussianKernel() {
    4139    }
     40
    4241    public override IDeepCloneable Clone(Cloner cloner) {
    4342      return new GaussianKernel(this, cloner);
    4443    }
    45     #endregion
    4644
    4745    protected override double Get(double norm) {

  • trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/KernelRidgeRegression/KernelFunctions/InverseMultiquadraticKernel.cs

    r14936 r15156  
    2929  [Item("InverseMultiquadraticKernel", "A kernel function that uses the inverse multi-quadratic function  1 / sqrt(1+||x-c||²/beta²). Similar to http://crsouza.com/2010/03/17/kernel-functions-for-machine-learning-applications/ with beta as a scaling factor.")]
    3030  public class InverseMultiquadraticKernel : KernelBase {
     31    private const double C = 1.0;
    3132
    32     private const double C = 1.0;
    33     #region HLConstructors & Boilerplate
    3433    [StorableConstructor]
    3534    protected InverseMultiquadraticKernel(bool deserializing) : base(deserializing) { }
    36     [StorableHook(HookType.AfterDeserialization)]
    37     private void AfterDeserialization() { }
     35
    3836    protected InverseMultiquadraticKernel(InverseMultiquadraticKernel original, Cloner cloner) : base(original, cloner) { }
     37
    3938    public InverseMultiquadraticKernel() { }
     39
    4040    public override IDeepCloneable Clone(Cloner cloner) {
    4141      return new InverseMultiquadraticKernel(this, cloner);
    4242    }
    43     #endregion
    4443
    4544    protected override double Get(double norm) {

  • trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/KernelRidgeRegression/KernelFunctions/KernelBase.cs

    r14936 r15156  
    3232  public abstract class KernelBase : ParameterizedNamedItem, IKernel {
    3333
    34     #region Parameternames
    3534    private const string DistanceParameterName = "Distance";
    36     #endregion
    37     #region Parameterproperties
     35
    3836    public ValueParameter<IDistance> DistanceParameter {
    3937      get { return Parameters[DistanceParameterName] as ValueParameter<IDistance>; }
    … …  
    4240    [Storable]
    4341    public double? Beta { get; set; }
    44     #endregion
    45     #region Properties
     42
    4643    public IDistance Distance {
    4744      get { return DistanceParameter.Value; }
    … …  
    4946    }
    5047
    51     #endregion
    52 
    5348    [StorableConstructor]
    5449    protected KernelBase(bool deserializing) : base(deserializing) { }
    55     [StorableHook(HookType.AfterDeserialization)]
    56     private void AfterDeserialization() { }
    5750
    5851    protected KernelBase(KernelBase original, Cloner cloner)
    … …  
    8275    public ParameterizedCovarianceFunction GetParameterizedCovarianceFunction(double[] p, int[] columnIndices) {
    8376      if (p.Length != GetNumberOfParameters(columnIndices.Length)) throw new ArgumentException("Illegal parametrization");
    84       var myClone = (KernelBase)Clone(new Cloner());
     77      var myClone = (KernelBase)Clone();
    8578      myClone.SetParameter(p);
    8679      var cov = new ParameterizedCovarianceFunction {

  • trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/KernelRidgeRegression/KernelFunctions/MultiquadraticKernel.cs

    r14936 r15156  
    3232
    3333    private const double C = 1.0;
    34     #region HLConstructors & Boilerplate
     34
    3535    [StorableConstructor]
    3636    protected MultiquadraticKernel(bool deserializing) : base(deserializing) { }
    37     [StorableHook(HookType.AfterDeserialization)]
    38     private void AfterDeserialization() { }
     37
    3938    protected MultiquadraticKernel(MultiquadraticKernel original, Cloner cloner)
    4039                : base(original, cloner) { }
    4140
    42     public MultiquadraticKernel() {
    43     }
     41    public MultiquadraticKernel() { }
     42
    4443    public override IDeepCloneable Clone(Cloner cloner) {
    4544      return new MultiquadraticKernel(this, cloner);
    4645    }
    47     #endregion
     46
    4847    protected override double Get(double norm) {
    4948      var beta = Beta.Value;

  • trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/KernelRidgeRegression/KernelFunctions/PolysplineKernel.cs

    r14936 r15156  
    3333  public class PolysplineKernel : KernelBase {
    3434
    35     #region Parameternames
    3635    private const string DegreeParameterName = "Degree";
    37     #endregion
    38     #region Parameterproperties
     36
    3937    public IFixedValueParameter<DoubleValue> DegreeParameter {
    4038      get { return Parameters[DegreeParameterName] as IFixedValueParameter<DoubleValue>; }
    4139    }
    42     #endregion
    43     #region Properties
     40
    4441    public DoubleValue Degree {
    4542      get { return DegreeParameter.Value; }
    4643    }
    47     #endregion
    4844
    49     #region HLConstructors & Boilerplate
    5045    [StorableConstructor]
    5146    protected PolysplineKernel(bool deserializing) : base(deserializing) { }
    52     [StorableHook(HookType.AfterDeserialization)]
    53     private void AfterDeserialization() { }
     47
    5448    protected PolysplineKernel(PolysplineKernel original, Cloner cloner) : base(original, cloner) { }
     49
    5550    public PolysplineKernel() {
    5651      Parameters.Add(new FixedValueParameter<DoubleValue>(DegreeParameterName, "The degree of the kernel. Needs to be greater than zero.", new DoubleValue(1.0)));
    5752    }
     53
    5854    public override IDeepCloneable Clone(Cloner cloner) {
    5955      return new PolysplineKernel(this, cloner);
    6056    }
    61     #endregion
    6257
    6358    protected override double Get(double norm) {

  • trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/KernelRidgeRegression/KernelFunctions/ThinPlatePolysplineKernel.cs

    r14936 r15156  
    3333  public class ThinPlatePolysplineKernel : KernelBase {
    3434
    35     #region Parameternames
    3635    private const string DegreeParameterName = "Degree";
    37     #endregion
    38     #region Parameterproperties
     36
    3937    public IFixedValueParameter<DoubleValue> DegreeParameter {
    4038      get { return Parameters[DegreeParameterName] as IFixedValueParameter<DoubleValue>; }
    4139    }
    42     #endregion
    43     #region Properties
    4440    public DoubleValue Degree {
    4541      get { return DegreeParameter.Value; }
    4642    }
    47     #endregion
    4843
    49     #region HLConstructors & Boilerplate
    5044    [StorableConstructor]
    5145    protected ThinPlatePolysplineKernel(bool deserializing) : base(deserializing) { }
    52     [StorableHook(HookType.AfterDeserialization)]
    53     private void AfterDeserialization() { }
     46
    5447    protected ThinPlatePolysplineKernel(ThinPlatePolysplineKernel original, Cloner cloner) : base(original, cloner) { }
     48
    5549    public ThinPlatePolysplineKernel() {
    5650      Parameters.Add(new FixedValueParameter<DoubleValue>(DegreeParameterName, "The degree of the kernel. Needs to be greater than zero.", new DoubleValue(2.0)));
    5751    }
     52
    5853    public override IDeepCloneable Clone(Cloner cloner) {
    5954      return new ThinPlatePolysplineKernel(this, cloner);
    6055    }
    61     #endregion
    6256
    6357    protected override double Get(double norm) {

  • trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/KernelRidgeRegression/KernelRidgeRegression.cs

    r14936 r15156  
    107107      Parameters.Add(new FixedValueParameter<DoubleValue>(BetaParameterName, "The beta parameter for the kernel", new DoubleValue(2)));
    108108    }
    109     [StorableHook(HookType.AfterDeserialization)]
    110     private void AfterDeserialization() { }
    111109
    112110    public override IDeepCloneable Clone(Cloner cloner) {
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