genConfigList: Generate WOE Configuration List Manually

In xxzcool/scoremodel: Credit Scoring Modeling Toolbox

Description

genConfigList can be used to generate the woe configuration list by batch computing WOEs with given binnings.

Usage

genConfigList(df, cut_list)

Arguments

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'.

Details

cut_list must contains max and Inf value in every continuous-representing component. Component such as c(10,20,30,Inf,NA).

Value

A list corresponding to X variables in df

See Also

Other dataset binning and woe-encoding functions: convertCutPoints, dfBinningFun, executeBinFun_df, preBinningFun, smbinning2, woeEncodeFun_df

Examples

data(CreditData)
mysample <- CreditData[c("gender","gscore","target")]
genConfigList(mysample, cut_list = list("factor",c(534,566,577,617,Inf,NA)))

xxzcool/scoremodel documentation built on May 4, 2019, 10:56 a.m.