over_ratio: Parameters for class-imbalance sampling

In tidymodels/dials: Tools for Creating Tuning Parameter Values

Parameters for class-imbalance sampling

Description

For up- and down-sampling methods, these parameters control how much data are added or removed from the training set.

Usage

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.

Details

See recipes::step_upsample() and recipes::step_downsample() for the interpretation of these parameters.

Examples

under_ratio()
over_ratio()

tidymodels/dials documentation built on March 18, 2024, 6:30 a.m.