scorecard (version 0.1.9)

woebin_ply: WOE Transformation

Description

woebin_ply converts original input data into woe values based on the binning information generated from woebin.

Usage

woebin_ply(dt, bins, no_cores = NULL, print_step = 0L)

Arguments

dt

A data frame.

bins

Binning information generated from woebin.

no_cores

Number of CPU cores for parallel computation. Defaults NULL. If no_cores is NULL, the no_cores will set as 1 if length of x variables less than 10, and will set as the number of all CPU cores if the length of x variables greater than or equal to 10.

print_step

A non-negative integer. Default is 1. If print_step>0, print variable names by each print_step-th iteration. If print_step=0 or no_cores>1, no message is print.

Value

Binning information

See Also

woebin, woebin_plot, woebin_adj

Examples

# NOT RUN {
# load germancredit data
data(germancredit)

# Example I
dt = germancredit[, c("creditability", "credit.amount", "purpose")]

# binning for dt
bins = woebin(dt, y = "creditability")

# converting original value to woe
dt_woe = woebin_ply(dt, bins=bins)
str(dt_woe)

# }
# NOT RUN {
# Example II
# binning for germancredit dataset
bins_germancredit = woebin(germancredit, y="creditability")

# converting the values in germancredit to woe
# bins is a list which generated from woebin()
germancredit_woe = woebin_ply(germancredit, bins_germancredit)

# bins is a dataframe
bins_df = data.table::rbindlist(bins_germancredit)
germancredit_woe = woebin_ply(germancredit, bins_df)
# }
# NOT RUN {
# }