Description Usage Arguments Details Value See Also Examples
genConfigList
can be used to generate the woe configuration list by batch computing WOEs with given binnings.
1 | genConfigList(df, cut_list)
|
df |
A dataframe only with Xs and Y variables, and the last variable must be Y. Y must be 0 or 1, with 0 represents good and 1 represents bad. |
cut_list |
A list of cut points vector corresponding X variables, but for factor variable, the element is fixed to constant 'factor'. |
cut_list
must contains max and Inf value in every continuous-representing component. Component such as c(10,20,30,Inf,NA)
.
A list corresponding to X variables in df
Other dataset binning and woe-encoding functions: convertCutPoints
,
dfBinningFun
,
executeBinFun_df
,
preBinningFun
, smbinning2
,
woeEncodeFun_df
1 2 3 | data(CreditData)
mysample <- CreditData[c("gender","gscore","target")]
genConfigList(mysample, cut_list = list("factor",c(534,566,577,617,Inf,NA)))
|
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