makeExtractFDAFeatMethod: Constructor for FDA feature extraction methods.
In riebetob/mlr: Machine Learning in R

This can be used to implement custom feature FDA extraction.

1	makeExtractFDAFeatMethod(learn, reextract, args = list())

learn

[function(data, target, col, ...)]
Function to learn and extract information on functional column col. Arguments are:

data [data.frame]
Data.frame with one row per observation of a single functional feature or time series and one column per measurement time point. All entries need to be numeric.
data [data.frame]
Data.frame containing matricies with one row per observation of a single functional or time series and one column per measurement time point. All entries need to be numeric.
target [character]
Name of the target variable. Default: “NULL”. The variable is only set to be consistent with the API.
col [character | numeric]
column names or indices, the extraction should be performed on. The function has to return a named list of values.