Uses of Class
nl.liacs.timeseries.kernel.AbstractKernel

Packages that use AbstractKernel

Package	Description
nl.liacs.timeseries.kernel

Uses of AbstractKernel in nl.liacs.timeseries.kernel

Subclasses of AbstractKernel in nl.liacs.timeseries.kernel

Modifier and Type	Class and Description
class	BasicKernel BasicKernel is a concrete implementation of DiscreteKernel.
class	Binarise Binarise kernel: not a convolution kernel.
class	BiWeight BiWeight kernel: K(u) = 15/16 * (1 - u^2)^2, where |u| ≤ 1.
class	ContinuousKernel ContinousKernel is the super class of all continuous kernels.
class	Cosine Cosine kernel: K(u) = Π/4 * cos((Π/2) * u), where |u| ≤ 1.
class	DiscreteKernel DiscreteKernel is the super class of all discrete kernels.
class	Epanechnikov Epanechnikov kernel: K(u) = 3/4 * (1 - u^2), where |u| ≤ 1.
class	ExponentialMovingAverage ExponentialMovingAverage kernels take into account previous values when determining the current one, but weight those using some exponentially decreasing weight, or ExponentialMovingAverage.FACTOR.
class	Gaussian Gaussian kernel: K(u) = 1 / (2Π * σ^2) * e^-((u - μ)^2 / (2 * σ^2)), where μ = 0 (μ = mu, σ = sigma).
class	MovingAverage MovingAverage kernels calculate the output value based on all preceding input values read so far.
class	SimpleMovingAverage SimpleMovingAverage kernels calculate the output value based on the previous and current value(s), using some configurable window width.
class	SimpleMovingMedian SimpleMovingMedian kernels calculate the output value based on the previous and current value(s), using some configurable window width.
class	Triangular Triangular kernel: K(u) = 1 - |u|, where |u| ≤ 1.
class	TriCube TriCube kernel: K(u) = 70/81 * (1 - u^3)^3, where |u| ≤ 1.
class	TriWeight TriWeight kernel: K(u) = 35/32 * (1 - u^2)^3, where |u| ≤ 1.
class	Uniform Uniform kernel: K(u) = 1/2, where |u| ≤ 1.
class	WeightedMovingAverage WeightedMovingAverage kernels take into account previous values when determining the current one, but weigh those using configurable weights.

Methods in nl.liacs.timeseries.kernel that return AbstractKernel

Modifier and Type	Method and Description
abstract AbstractKernel	DiscreteKernel.setOutOfBoundsPolicy(OutOfBoundsPolicy theOutOfBoundsPolicy)
AbstractKernel	BasicKernel.setOutOfBoundsPolicy(OutOfBoundsPolicy thePolicy) Sets the new OutOfBoundsPolicy for the Kernel.
AbstractKernel	WeightedMovingAverage.setWeights(double[] theWeights) Sets the weights to be used for this Kernel.
abstract AbstractKernel	DiscreteKernel.setWidth(int theWidth)
AbstractKernel	BasicKernel.setWidth(int theWidth) Sets the new width for the Kernel.