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mlr (version 2.9)

generateFilterValuesData: Calculates feature filter values.

Description

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

Usage

generateFilterValuesData(task, method = "rf.importance", nselect = getTaskNFeats(task), ..., more.args = list())

Arguments

task
[Task] The task.
method
[character] Filter method(s), see above. Default is “rf.importance”.
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.

Value

[FilterValues]. A list containing:

See Also

Other filter: filterFeatures, getFilterValues, getFilteredFeatures, makeFilterWrapper, plotFilterValuesGGVIS, plotFilterValues

Other generate_plot_data: generateCalibrationData, generateCritDifferencesData, generateFunctionalANOVAData, generateLearningCurveData, generatePartialDependenceData, generateThreshVsPerfData, getFilterValues