makeFilterEnsemble: Create an ensemble feature filter.

In mlr: Machine Learning in R

Create an ensemble feature filter.

Description

Creates and registers custom ensemble feature filters. Implemented ensemble filters can be listed with listFilterEnsembleMethods. Additional documentation for the fun parameter specific to each filter can be found in the description.

Usage

makeFilterEnsemble(name, base.methods, desc, fun)

Arguments

name	(character(1)) Identifier for the filter.
base.methods	the base filter methods which the ensemble method will use.
desc	(character(1)) Short description of the filter.
fun	(⁠function(task, nselect, ...⁠) Function which takes a task and returns a named numeric vector of scores, one score for each feature of task. Higher scores mean higher importance of the feature. At least nselect features must be calculated, the remaining may be set to NA or omitted, and thus will not be selected. the original order will be restored if necessary.

Value

Object of class “FilterEnsemble”.

See Also

Other filter: filterFeatures(), generateFilterValuesData(), getFilteredFeatures(), listFilterEnsembleMethods(), listFilterMethods(), makeFilter(), makeFilterWrapper(), plotFilterValues()

mlr documentation built on June 22, 2024, 10:51 a.m.