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mlr (version 2.12.1)

getFilterValues: Calculates feature filter values.

Description

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

Usage

getFilterValues(task, method = "randomForestSRC.rfsrc",
  nselect = getTaskNFeats(task), ...)

Arguments

task

(Task) The task.

method

(character(1)) Filter method, 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.

Value

(FilterValues).

See Also

Other filter: filterFeatures, generateFilterValuesData, getFilteredFeatures, listFilterMethods, makeFilterWrapper, makeFilter, plotFilterValues

Other generate_plot_data: generateCalibrationData, generateCritDifferencesData, generateFeatureImportanceData, generateFilterValuesData, generateLearningCurveData, generatePartialDependenceData, generateThreshVsPerfData, plotFilterValues

Other filter: filterFeatures, generateFilterValuesData, getFilteredFeatures, listFilterMethods, makeFilterWrapper, makeFilter, plotFilterValues