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