| Package | Description |
|---|---|
| nl.liacs.timeseries.kernel |
| Modifier and Type | Class and Description |
|---|---|
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.
|