mlr (version 2.10)

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, makeFilterWrapper, plotFilterValuesGGVIS, plotFilterValues Other generate_plot_data: generateCalibrationData, generateCritDifferencesData, generateFeatureImportanceData, generateFilterValuesData, generateFunctionalANOVAData, generateLearningCurveData, generatePartialDependenceData, generateThreshVsPerfData, plotFilterValues Other filter: filterFeatures, generateFilterValuesData, getFilteredFeatures, makeFilterWrapper, plotFilterValuesGGVIS, plotFilterValues