rawPredictFun_df: Predict p Value of Entire Raw Dataset

In xxzcool/scoremodel: Credit Scoring Modeling Toolbox

Description

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.

Usage

rawPredictFun_df(x_sample, config_list, coef_vec)

Arguments

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.

Details

parameter config_list can be generated by function dfBinningFun.

Value

A numeric vector

See Also

Other model prediction functions: LRpredict, transformScore

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