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 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 column `col`. 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 to `learn`.
`args` | (list) Named list of arguments to pass to `learn` via `...`.
`par.set` | (ParamSet) Paramset added to the learner if used in conjunction with a makeExtractFDAFeatsWrapper. Can be `NULL`.'

### See Also

Other fda: `extractFDAFeatures()`, `makeExtractFDAFeatsWrapper()`

[Package mlr version 2.19.0 Index]