Constructor for FDA feature extraction methods.
Source:R/extractFDAFeaturesMethods.R
makeExtractFDAFeatMethod.Rd
This can be used to implement custom FDA feature extraction.
Takes a learn
and a reextract
function along with some optional
parameters to those as argument.
Usage
makeExtractFDAFeatMethod(learn, reextract, args = list(), par.set = NULL)
Arguments
- learn
(
function(data, target, col, ...)
)
Function to learn and extract information on functional columncol
. Arguments are:data data.frame
Data.frame containing matricies with one row per observation of a single functional or time series and one column per meahttps://github.com/mlr-org/mlr/pull/2005/conflict?name=R%252FextractFDAFeatures.R&ancestor_oid=bdc5d882cc86adac456842bebf1a2cf9bb0eb648&base_oid=55d472e23f5c3eb8099607bd9f539034d93e82a4&head_oid=4076800589c60b20acc926e5a545df9f73193b65surement time point. All entries need to be numeric.target (
character(1)
)
Name of the target variable. Default: “NULL”. The variable is only set to be consistent with the API.col (
character(1)
|numeric(1)
)
column names or indices, the extraction should be performed on. The function has to return a named list of values.
- reextract
(
function(data, target, col, ...)
)
Function used for reextracting data in predict phase. Can be equal tolearn
.- args
(list)
Named list of arguments to pass tolearn
via...
.- par.set
(ParamSet)
Paramset added to the learner if used in conjunction with a makeExtractFDAFeatsWrapper. Can beNULL
.`
See also
Other fda:
extractFDAFeatures()
,
makeExtractFDAFeatsWrapper()