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Minimum Bins Parameter

Source: R/step_obwoe.R
obwoe_min_bins.Rd

A quantitative tuning parameter for the minimum number of bins in step_obwoe.

Usage

obwoe_min_bins(range = c(2L, 5L), trans = NULL)

Arguments

range

A two-element integer vector specifying the minimum and maximum values for the parameter. Default is c(2L, 5L).

trans

A transformation object from the scales package, or NULL for no transformation. Default is NULL.

Value

A dials quantitative parameter object.

Details

The minimum number of bins constrains the algorithm to create at least this many bins. Setting min_bins = 2 allows maximum flexibility, while higher values ensure more granular discretization.

For credit scoring applications, min_bins is typically set between 2 and 4 to avoid forcing artificial splits on weakly predictive variables.

See also

step_obwoe, obwoe_max_bins

Examples

obwoe_min_bins()
#> Minimum Bins (quantitative)
#> Range: [2, 5]
obwoe_min_bins(range = c(3L, 7L))
#> Minimum Bins (quantitative)
#> Range: [3, 7]