getFilterValues: Calculates feature filter values.

In riebetob/mlr: Machine Learning in R

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].

Note

getFilterValues is deprecated in favor of generateFilterValuesData.

See Also

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

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

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

riebetob/mlr documentation built on May 20, 2019, 5:58 p.m.