Documentation of 'Catalano.Statistics.Kernels.ThinPlateSpline' Java class
ThinPlateSpline
Catalano.Statistics.Kernels

Class ThinPlateSpline

  • All Implemented Interfaces:
    IMercerKernel<double[]>, java.io.Serializable


    public class ThinPlateSpline
    extends java.lang.Object
    implements IMercerKernel<double[]>
    Thin Plate Spline Kernel. Thin plate splines (TPS) are a spline-based technique for data interpolation and smoothing.
    See Also:
    Serialized Form
    • Constructor Summary

      Constructors 
      Constructor and Description
      ThinPlateSpline()
      Constructs a new ThinPlateSpline Kernel.
      ThinPlateSpline(double sigma)
      Constructs a new ThinPlateSpline Kernel.
    • Method Summary

      All Methods Instance Methods Concrete Methods 
      Modifier and Type Method and Description
      double Function(double[] x, double[] y)
      The kernel function.
      double getSigma()
      Get sigma.
      void setSigma(double sigma)
      Set sigma.
      • Methods inherited from class java.lang.Object

        equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
    • Constructor Detail

      • ThinPlateSpline

        public ThinPlateSpline()
        Constructs a new ThinPlateSpline Kernel.
      • ThinPlateSpline

        public ThinPlateSpline(double sigma)
        Constructs a new ThinPlateSpline Kernel.
        Parameters:
        sigma - Sigma.
    • Method Detail

      • getSigma

        public double getSigma()
        Get sigma.
        Returns:
        Sigma.
      • setSigma

        public void setSigma(double sigma)
        Set sigma.
        Parameters:
        sigma - Sigma.
      • Function

        public double Function(double[] x,
                               double[] y)
        Description copied from interface: IMercerKernel
        The kernel function.
        Specified by:
        Function in interface IMercerKernel<double[]>
        Parameters:
        x - Vector x in input space.
        y - Vector y in input space.
        Returns:
        Dot product in feature (kernel) space.

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