Parameters for class-imbalance sampling

Source: R/param_over_ratio.R

For up- and down-sampling methods, these parameters control how much data are added or removed from the training set. Used in themis::step_rose(), themis::step_smotenc(), themis::step_bsmote(), themis::step_upsample(), themis::step_downsample(), and themis::step_nearmiss().

over_ratio(range = c(0.8, 1.2), trans = NULL)

under_ratio(range = c(0.8, 1.2), trans = NULL)

Arguments

range

A two-element vector holding the defaults for the smallest and largest possible values, respectively. If a transformation is specified, these values should be in the transformed units.

trans

A trans object from the scales package, such as scales::transform_log10() or scales::transform_reciprocal(). If not provided, the default is used which matches the units used in range. If no transformation, NULL.

Examples

under_ratio()
#> Under-Sampling Ratio (quantitative)
#> Range: [0.8, 1.2]
over_ratio()
#> Over-Sampling Ratio (quantitative)
#> Range: [0.8, 1.2]