WOE/BIN Transformation
woebin_ply converts original values of input data into woe or bin based on the binning information generated from woebin.
woebin_ply(dt, bins, to = "woe", no_cores = NULL, print_step = 0L, replace_blank_inf = TRUE, ...)
dt |
A data frame. |
bins |
Binning information generated from |
to |
Converting original values to woe or bin. Defaults to woe. |
no_cores |
Number of CPU cores for parallel computation. Defaults to 90 percent of total cpu cores. |
print_step |
A non-negative integer. Defaults to 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. |
replace_blank_inf |
Logical. Replace blank values with NA and infinite with -1. Defaults to TRUE. This argument should be the same with |
... |
Additional parameters. |
A data frame with columns for variables converted into woe values.
# load germancredit data
data(germancredit)
# Example I
dt = germancredit[, c("creditability", "credit.amount", "purpose")]
# binning for dt
bins = woebin(dt, y = "creditability")
# converting to woe
dt_woe = woebin_ply(dt, bins=bins)
str(dt_woe)
# converting to bin
dt_bin = woebin_ply(dt, bins=bins, to = 'bin')
str(dt_bin)
# 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 data frame
bins_df = data.table::rbindlist(bins_germancredit)
germancredit_woe = woebin_ply(germancredit, bins_df)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.