| Package | Description |
|---|---|
| nl.liacs.timeseries.feature | |
| nl.liacs.timeseries.kernel |
| Class and Description |
|---|
| OutOfBoundsPolicy
OutOfBoundsPolicy
enums are used to as default values for
'windowed' operations, when such a window can not, as a whole, be placed over
the input values. |
| Class and Description |
|---|
| AbstractKernel
AbstractKernel is the super class of all kernels.
|
| BasicKernel
BasicKernel is a concrete implementation of
DiscreteKernel. |
| Binarise
Binarise kernel: not a convolution kernel.
|
| Binarise.TestPolicy
TestPolicy controls the kind of test the
Kernel performs
on the threshold. |
| ContinuousKernel
ContinousKernel is the super class of all continuous kernels.
|
| DiscreteKernel
DiscreteKernel is the super class of all discrete kernels.
|
| ExponentialMovingAverage
ExponentialMovingAverage kernels take into account previous values when
determining the current one, but weight those using some exponentially
decreasing weight, or
ExponentialMovingAverage.FACTOR. |
| Gaussian
Gaussian kernel:
K(u) = 1 / (2Π * σ^2) *
e^-((u - μ)^2 / (2 * σ^2)),
where μ =
0 (μ = mu, σ = sigma). |
| OutOfBoundsPolicy
OutOfBoundsPolicy
enums are used to as default values for
'windowed' operations, when such a window can not, as a whole, be placed over
the input values. |
| SimpleMovingAverage
SimpleMovingAverage kernels calculate the output value based on the previous
and current value(s), using some configurable window
width. |
| Uniform
Uniform kernel: K(u) = 1/2,
where |u| ≤
1. |