R: Constructor for FDA feature extraction methods.

makeExtractFDAFeatMethod {mlr} | R Documentation

## Constructor for FDA feature extraction methods.

### Description

This can be used to implement custom feature FDA extraction.

### Usage

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

### Arguments

`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.
`reextract` | (`function(data, target, col, ...)`) Function used for reextracting data in predict phase. Can be equal to `learn`.
`args` | (list) Named list of arguments to pass to `learn` via `...`.

### See Also

Other fda: `extractFDAFeatures`, `makeExtractFDAFeatsWrapper`

[Package mlr version 2.14.0 Index]