SlidingWindow: Sliding Window Handle for Data Stream Concept Drift Detectors
In faustogc/streamChaos: Analysis of Non Linear Data Streams
Description
Usage
Arguments
Author(s)
See Also
Description
Stores
Usage
1
SlidingWindow(window.length = 500, lambda = 1, compute.embedded.data = T, embedding.dimension = 2, delay.dimension = 1, compute.distances = F)
Arguments
window.length
The window length.
compute.embedded.data
If set to true, automatically computes the embedded data on every update.
embedding.dimension
The embedding dimension (used only if compute.embedded.data=TRUE.
delay.dimension
The delay dimension (used only if compute.embedded.data=TRUE.
compute.distances
If set to true, automatically computes the distance among points on every window update.
Author(s)
Fausto Guzzo da Costa
See Also
faustogc/streamChaos documentation built on May 8, 2019, 9:22 a.m.
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Description Usage Arguments Author(s) See Also
Description
Stores
Usage
1 | SlidingWindow(window.length = 500, lambda = 1, compute.embedded.data = T, embedding.dimension = 2, delay.dimension = 1, compute.distances = F)
|
Arguments
window.length |
The window length. |
compute.embedded.data |
If set to true, automatically computes the embedded data on every update. |
embedding.dimension |
The embedding dimension (used only if |
delay.dimension |
The delay dimension (used only if |
compute.distances |
If set to true, automatically computes the distance among points on every window update. |
Author(s)
Fausto Guzzo da Costa
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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