apply_woe: Weight of Evidence based segmentation of a variable
In kraken19/woeR: Weight of Evidence Based Segmentation of a Variable

Description Usage Arguments Value Examples

This function applies the binning generated from woe_binning to new data

1	apply_woe(df, woe_object)

`df`	A data frame. The variable names and types need to be identical to the ones passed to woe_binning
`woe_object`	Output object from woe_binning function

Input data frame is returned with two new columns - bin & woe

library(smbinning)
data("chileancredit")
## Not run: woe_object <- woe_binning(chileancredit, "cbs1", "fgood", initial_bins = 10)
out <- apply_woe(chileancredit, woe_object)
#Above example to create and apply woe segmentation 
## End(Not run)