extractFDABsignal: Bspline mlq features
In berndbischl/mlr: Machine Learning in R
View source: R/extractFDAFeaturesMethods.R
extractFDABsignal R Documentation
Bspline mlq features
Description
The function extracts features from functional data based on the Bspline fit.
For more details refer to FDboost::bsignal().
Usage
extractFDABsignal(bsignal.knots = 10L, bsignal.df = 3)
Arguments
bsignal.knots
(integer(1))
The number of knots for bspline.
bsignal.df
(numeric(1))
The effective degree of freedom of penalized bspline.
Value
(data.frame).
See Also
Other fda_featextractor:
extractFDADTWKernel(),
extractFDAFPCA(),
extractFDAFourier(),
extractFDAMultiResFeatures(),
extractFDATsfeatures(),
extractFDAWavelets()
berndbischl/mlr documentation built on Aug. 15, 2024, 4:20 p.m.
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View source: R/extractFDAFeaturesMethods.R
| extractFDABsignal | R Documentation |
Bspline mlq features
Description
The function extracts features from functional data based on the Bspline fit.
For more details refer to FDboost::bsignal().
Usage
extractFDABsignal(bsignal.knots = 10L, bsignal.df = 3)
Arguments
bsignal.knots |
( |
bsignal.df |
( |
Value
(data.frame).
See Also
Other fda_featextractor:
extractFDADTWKernel(),
extractFDAFPCA(),
extractFDAFourier(),
extractFDAMultiResFeatures(),
extractFDATsfeatures(),
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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