Extract non-functional features from functional features using various methods.
The function extractFDAFeatures performs the extraction for all functional features
via the methods specified in
feat.methods and transforms all mentioned functional
matrix features into regular data.frame columns.
Additionally, a “
which contains learned coefficients and other helpful data for
extraction during the predict-phase is returned. This can be used with
reextractFDAFeatures in order to extract features during the prediction phase.
Extracted features, returns a data.frame when given a data.frame and a Task when given a Task.
Description object. See description for details.
The description object contains these slots
colum names of data.
Functional feature names.
feature.methods and relevant
parameters for reextraction