extractFDAMultiResFeatures: Multiresolution feature extraction.
In guillermozbta/mir: Machine Learning in R
Description
Usage
Arguments
Value
See Also
Description
The function extracts currently the mean of multiple segments of each curve and stacks them
as features. The segments length are set in a hierachy way so the features
cover different resolution levels.
Usage
1
extractFDAMultiResFeatures(res.level = 3L, shift = 0.5, curve.lens = NULL)
Arguments
res.level
[integer(1)]
The number of resolution hierachy, each length is divided by a factor of 2.
shift
[numeric(1)]
The overlapping proportion when slide the window for one step.
curve.lens
[integer]
Curve subsequence lengths. Needs to sum up to the length of the functional.
Value
[data.frame].
See Also
Other fda_featextractor: extractFDAFPCA,
extractFDAFourier,
extractFDAWavelets
guillermozbta/mir documentation built on May 11, 2019, 6:27 p.m.
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Description Usage Arguments Value See Also
Description
The function extracts currently the mean of multiple segments of each curve and stacks them as features. The segments length are set in a hierachy way so the features cover different resolution levels.
Usage
1 | extractFDAMultiResFeatures(res.level = 3L, shift = 0.5, curve.lens = NULL)
|
Arguments
res.level |
[ |
shift |
[ |
curve.lens |
[ |
Value
[data.frame].
See Also
Other fda_featextractor: extractFDAFPCA,
extractFDAFourier,
extractFDAWavelets
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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