Description Usage Arguments Details Value See Also
rawPredictFun_df
will predict the p value of all observations, based on woe configuration list(see details) and model coefficients. Different from LRpredict
, this function can predict on raw observations directly which have not been woe-encoded or binned.
1 | rawPredictFun_df(x_sample, config_list, coef_vec)
|
x_sample |
A dataframe with only X variables and contains all the observations to be predicted. |
config_list |
A list of woe configuration, whose every component is a dataframe corresponding to a x variable. |
coef_vec |
A vector of model coefficients. |
parameter config_list
can be generated by function dfBinningFun
.
A numeric vector
Other model prediction functions: LRpredict
,
transformScore
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