extractFDAMultiResFeatures: Multiresolution feature extraction.

In mlr: Machine Learning in R

Multiresolution feature extraction.

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

extractFDAMultiResFeatures(res.level = 3L, shift = 0.5, seg.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.
seg.lens	(integer(1)) Curve subsequence lengths. Needs to sum up to the length of the functional.

Value

(data.frame).

See Also

Other fda_featextractor: extractFDABsignal(), extractFDADTWKernel(), extractFDAFPCA(), extractFDAFourier(), extractFDATsfeatures(), extractFDAWavelets()

mlr documentation built on June 22, 2024, 10:51 a.m.