rep_woe {autoScorecard} | R Documentation |
Replace Feature Data by Binning Template
Description
Replace Feature Data by Binning Template
Usage
rep_woe(df, key_var, y_var, tool, var_label, col_woe, lower, upper)
Arguments
df |
A data.frame with independent variables and target variable. |
key_var |
A name of index variable name. |
y_var |
A name of target variable. |
tool |
Binning template. |
var_label |
The name of the characteristic variable. |
col_woe |
The name of the woe variable |
lower |
The name of the binning lower bound. |
upper |
The name of the binning upper bound. |
Value
A data frame of woe
Examples
accepts <- read.csv( system.file( "extdata", "accepts.csv", package ="autoScorecard" ))
feature <- stats::na.omit( accepts[,c(1,3,7:23)] )
all2 <- bins_tree( df = feature, key_var = "application_id", y_var = "bad_ind",
max_depth = 3, p= 0.1)
re2 <- rep_woe( df= feature ,key_var = "application_id", y_var = "bad_ind",
tool = all2, var_label = "variable",col_woe ='woe', lower ='lower',upper ='upper')
[Package autoScorecard version 0.3.0 Index]