gen_buckets: Supervised discretization with 'smbinning'

In hongqi0314/PRAuto.PMML: User defined functions to output a PMML file that is to be implemented in S1

Description

Generate buckets for numerical features using 'smbinning'.

Usage

gen_buckets(data, target, x, fitLimits = range(data[, x]), minNumCuts = 4,
  minBktPct = 0.1)

Arguments

data	A data frame contains target and numerical variable that to be binned. Has to be exactly 'data.frame', "smbinning::smbinning()" won't accept, say, tibbles.
target	Character string indicating name of the target variable.
x	Character string indicating name of the continuous numerical variable.
fitLimits	Vector of two float numbers indicating model fitting limits of x.
minNumCuts	Integer representing minimum number of cut points required/wanted.
minBktPct	Float number indicating minimum percent of observation required for each 'smbinning' generated buckets. A number to be used to indicate parameter 'p' in function 'smbinning'.

Value

A 'smbinning' object.

Examples

BinsFICO_UsedPlat <- gen_buckets(data = Data_UsedPlat, target = 'BadInd',
    x = 'CreditScore', fitLimits = c(450, 900), minNumCuts = 5, minBktPct = 0.15)

hongqi0314/PRAuto.PMML documentation built on May 6, 2019, 11:30 a.m.