capLargeValues: Convert large/infinite numeric values in a data.frame or...

In riebetob/mlr: Machine Learning in R

Description

Convert numeric entries which large/infinite (absolute) values in a data.frame or task. Only numeric/integer columns are affected.

Usage

capLargeValues(obj, target = character(0L), cols = NULL, threshold = Inf,
  impute = threshold, what = "abs")

Arguments

obj	[data.frame | Task] Input data.
target	[character] Name of the column(s) specifying the response. Target columns will not be capped. Default is character(0).
cols	[character] Which columns to convert. Default is all numeric columns.
threshold	[numeric(1)] Threshold for capping. Every entry whose absolute value is equal or larger is converted. Default is Inf.
impute	[numeric(1)] Replacement value for large entries. Large negative entries are converted to -impute. Default is threshold.
what	[character(1)] What kind of entries are affected? “abs” means abs(x) > threshold, “pos” means abs(x) > threshold && x > 0, “neg” means abs(x) > threshold && x < 0. Default is “abs”.

Value

[data.frame]

See Also

Other eda_and_preprocess: createDummyFeatures, dropFeatures, mergeSmallFactorLevels, normalizeFeatures, removeConstantFeatures, summarizeColumns

Examples

capLargeValues(iris, threshold = 5, impute = 5)

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