Package com.rapidminer.tools.math.smoothing

This package consists classes for kernel based smoothing functions.

See:
          Description

Class Summary
BisquareSmoothingKernel This class implements the bisquare smoothing kernel.
EpanechnikovSmoothingKernel This class implements the Epanechnikov smoothing kernel.
ExponentialSmoothingKernel This class implements the exponential smoothing kernel.
GaussianSmoothingKernel This class implements the gaussian smoothing kernel.
McLainSmoothingKernel This class implements a McLain smoothing kernel with fixed epsilon on 1 for normalization, so that it returns a weight of 1 on distance 0.
RectangularSmoothingKernel This class implements a rectangular kernel.
SmoothingKernel This class provides the functionality of a smoothing kernel, which returns weights depended on a norm distance.
SmoothingKernels This class provides functionality in order to create SmoothingKernels in operators in a parameter depended way.
TriangularSmoothingKernel This class implements a triangular smoothing kernel.
TricubeSmoothingKernel This class implements the Tricube kernel
TriweightSmoothingKernel This class implements the Triweight Smoothing kernel
 

Package com.rapidminer.tools.math.smoothing Description

This package consists classes for kernel based smoothing functions.



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