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Timestamp:
12/28/18 16:10:48 (5 years ago)
Author:
jkarder
Message:

#2520: worked on reintegration of new persistence

  • added nuget references to HEAL.Fossil
  • added StorableType attributes to many classes
  • changed signature of StorableConstructors
  • removed some classes in old persistence
  • removed some unnecessary usings
Location:
branches/2520_PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/KernelRidgeRegression
Files:
9 edited

Legend:

Unmodified
Added
Removed

  • branches/2520_PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/KernelRidgeRegression/KernelFunctions/CicularKernel.cs

    r16453 r16462  
    2323using HeuristicLab.Common;
    2424using HeuristicLab.Core;
    25 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     25using HEAL.Fossil;
    2626
    2727namespace HeuristicLab.Algorithms.DataAnalysis {
    28   [StorableClass]
     28  [StorableType("BB5992FF-783A-490E-91FE-C0782BD1CBB9")]
    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 {
    3131    [StorableConstructor]
    32     protected CircularKernel(bool deserializing) : base(deserializing) { }
     32    protected CircularKernel(StorableConstructorFlag _) : base(_) { }
    3333
    3434    protected CircularKernel(CircularKernel original, Cloner cloner) : base(original, cloner) { }

  • branches/2520_PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/KernelRidgeRegression/KernelFunctions/GaussianKernel.cs

    r16453 r16462  
    2525using HeuristicLab.Core;
    2626
    27 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     27using HEAL.Fossil;
    2828
    2929namespace HeuristicLab.Algorithms.DataAnalysis {
    30   [StorableClass]
     30  [StorableType("CFF2B805-FE21-427B-B899-531D3AB1C7EF")]
    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 {
    3333    [StorableConstructor]
    34     protected GaussianKernel(bool deserializing) : base(deserializing) { }
     34    protected GaussianKernel(StorableConstructorFlag _) : base(_) { }
    3535
    3636    protected GaussianKernel(GaussianKernel original, Cloner cloner) : base(original, cloner) { }

  • branches/2520_PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/KernelRidgeRegression/KernelFunctions/InverseMultiquadraticKernel.cs

    r16453 r16462  
    2323using HeuristicLab.Common;
    2424using HeuristicLab.Core;
    25 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     25using HEAL.Fossil;
    2626
    2727namespace HeuristicLab.Algorithms.DataAnalysis {
    28   [StorableClass]
     28  [StorableType("891AC2D7-520C-4D34-9CBF-174DFA290C12")]
    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 {
    … …  
    3232
    3333    [StorableConstructor]
    34     protected InverseMultiquadraticKernel(bool deserializing) : base(deserializing) { }
     34    protected InverseMultiquadraticKernel(StorableConstructorFlag _) : base(_) { }
    3535
    3636    protected InverseMultiquadraticKernel(InverseMultiquadraticKernel original, Cloner cloner) : base(original, cloner) { }

  • branches/2520_PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/KernelRidgeRegression/KernelFunctions/KernelBase.cs

    r16453 r16462  
    2626using HeuristicLab.Core;
    2727using HeuristicLab.Parameters;
    28 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     28using HEAL.Fossil;
    2929
    3030namespace HeuristicLab.Algorithms.DataAnalysis {
    31   [StorableClass]
     31  [StorableType("3449B830-E1E5-4176-B56D-AA32235F061B")]
    3232  public abstract class KernelBase : ParameterizedNamedItem, IKernel {
    3333
    … …  
    6060
    6161    [StorableConstructor]
    62     protected KernelBase(bool deserializing) : base(deserializing) { }
     62    protected KernelBase(StorableConstructorFlag _) : base(_) { }
    6363
    6464    protected KernelBase(KernelBase original, Cloner cloner)

  • branches/2520_PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/KernelRidgeRegression/KernelFunctions/MultiquadraticKernel.cs

    r16453 r16462  
    2323using HeuristicLab.Common;
    2424using HeuristicLab.Core;
    25 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     25using HEAL.Fossil;
    2626
    2727namespace HeuristicLab.Algorithms.DataAnalysis {
    28   [StorableClass]
     28  [StorableType("9017554C-BB2A-45E1-9050-1260CB98D04A")]
    2929  // conditionally positive definite. (need to add polynomials) see http://num.math.uni-goettingen.de/schaback/teaching/sc.pdf
    3030  [Item("MultiquadraticKernel", "A kernel function that uses the multi-quadratic function 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.")]
    … …  
    3434
    3535    [StorableConstructor]
    36     protected MultiquadraticKernel(bool deserializing) : base(deserializing) { }
     36    protected MultiquadraticKernel(StorableConstructorFlag _) : base(_) { }
    3737
    3838    protected MultiquadraticKernel(MultiquadraticKernel original, Cloner cloner) : base(original, cloner) { }

  • branches/2520_PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/KernelRidgeRegression/KernelFunctions/PolysplineKernel.cs

    r16453 r16462  
    2525using HeuristicLab.Data;
    2626using HeuristicLab.Parameters;
    27 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     27using HEAL.Fossil;
    2828
    2929namespace HeuristicLab.Algorithms.DataAnalysis {
    30   [StorableClass]
     30  [StorableType("0618DE2C-6A69-4086-ADE1-F983AC626F42")]
    3131  // conditionally positive definite. (need to add polynomials) see http://num.math.uni-goettingen.de/schaback/teaching/sc.pdf
    3232  [Item("PolysplineKernel", "A kernel function that uses the polyharmonic function (||x-c||/Beta)^Degree as given in http://num.math.uni-goettingen.de/schaback/teaching/sc.pdf with beta as a scaling parameters.")]
    … …  
    4444
    4545    [StorableConstructor]
    46     protected PolysplineKernel(bool deserializing) : base(deserializing) { }
     46    protected PolysplineKernel(StorableConstructorFlag _) : base(_) { }
    4747
    4848    protected PolysplineKernel(PolysplineKernel original, Cloner cloner) : base(original, cloner) { }

  • branches/2520_PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/KernelRidgeRegression/KernelFunctions/ThinPlatePolysplineKernel.cs

    r16453 r16462  
    2525using HeuristicLab.Data;
    2626using HeuristicLab.Parameters;
    27 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     27using HEAL.Fossil;
    2828
    2929namespace HeuristicLab.Algorithms.DataAnalysis {
    30   [StorableClass]
     30  [StorableType("4D79FB1C-94CD-4450-8CD0-F9594A5F03FE")]
    3131  // conditionally positive definite. (need to add polynomials) see http://num.math.uni-goettingen.de/schaback/teaching/sc.pdf
    3232  [Item("ThinPlatePolysplineKernel", "A kernel function that uses the ThinPlatePolyspline function (||x-c||/Beta)^(Degree)*log(||x-c||/Beta) as described in \"Thin-Plate Spline Radial Basis Function Scheme for Advection-Diffusion Problems\" with beta as a scaling parameter.")]
    … …  
    4343
    4444    [StorableConstructor]
    45     protected ThinPlatePolysplineKernel(bool deserializing) : base(deserializing) { }
     45    protected ThinPlatePolysplineKernel(StorableConstructorFlag _) : base(_) { }
    4646
    4747    protected ThinPlatePolysplineKernel(ThinPlatePolysplineKernel original, Cloner cloner) : base(original, cloner) { }

  • branches/2520_PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/KernelRidgeRegression/KernelRidgeRegression.cs

    r16453 r16462  
    2828using HeuristicLab.Optimization;
    2929using HeuristicLab.Parameters;
    30 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     30using HEAL.Fossil;
    3131using HeuristicLab.PluginInfrastructure;
    3232using HeuristicLab.Problems.DataAnalysis;
    … …  
    3535  [Item("Kernel Ridge Regression", "Kernelized ridge regression e.g. for radial basis function (RBF) regression.")]
    3636  [Creatable(CreatableAttribute.Categories.DataAnalysisRegression, Priority = 100)]
    37   [StorableClass]
     37  [StorableType("8AD45266-68CA-4710-A99C-59952132AA9D")]
    3838  public sealed class KernelRidgeRegression : BasicAlgorithm, IDataAnalysisAlgorithm<IRegressionProblem> {
    3939    private const string SolutionResultName = "Kernel ridge regression solution";
    … …  
    9797
    9898    [StorableConstructor]
    99     private KernelRidgeRegression(bool deserializing) : base(deserializing) { }
     99    private KernelRidgeRegression(StorableConstructorFlag _) : base(_) { }
    100100    private KernelRidgeRegression(KernelRidgeRegression original, Cloner cloner)
    101101      : base(original, cloner) {

  • branches/2520_PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4/KernelRidgeRegression/KernelRidgeRegressionModel.cs

    r16453 r16462  
    2525using HeuristicLab.Common;
    2626using HeuristicLab.Core;
    27 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     27using HEAL.Fossil;
    2828using HeuristicLab.Problems.DataAnalysis;
    2929
    3030namespace HeuristicLab.Algorithms.DataAnalysis {
    31   [StorableClass]
     31  [StorableType("4148D88C-6081-4D84-B718-C949CA5AA766")]
    3232  [Item("KernelRidgeRegressionModel", "A kernel ridge regression model")]
    3333  public sealed class KernelRidgeRegressionModel : RegressionModel {
    … …  
    6868
    6969    [StorableConstructor]
    70     private KernelRidgeRegressionModel(bool deserializing) : base(deserializing) { }
     70    private KernelRidgeRegressionModel(StorableConstructorFlag _) : base(_) { }
    7171    private KernelRidgeRegressionModel(KernelRidgeRegressionModel original, Cloner cloner)
    7272      : base(original, cloner) {
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