R: Calculates feature filter values.

generateFilterValuesData {mlr}

R Documentation

Calculates feature filter values.

Calculates numerical filter values for features. For a list of features, use listFilterMethods.

generateFilterValuesData(task, method = "randomForestSRC.rfsrc",
  nselect = getTaskNFeats(task), ..., more.args = list())

`task`	(Task) The task.
`method`	(character) Filter method(s), see above. Default is “randomForestSRC.rfsrc”.
`nselect`	(`integer(1)`) Number of scores to request. Scores are getting calculated for all features per default.
`...`	(any) Passed down to selected method. Can only be use if `method` contains one element.
`more.args`	(named list) Extra args passed down to filter methods. List elements are named with the filter `method` name the args should be passed down to. A more general and flexible option than `...`. Default is empty list.

(FilterValues). A list containing:

task.desc

[[TaskDesc])
Task description.

data

([data.frame]) with columns:

name([character])
Name of feature.
type([character])
Feature column type.
method([numeric])
One column for each method with the feature importance values.

[[TaskDesc]: R:[TaskDesc [data.frame]: R:data.frame [character]: R:character [character]: R:character [numeric]: R:numeric