rxTreeDiscretize: Function to discretize continous variables using a tree.

In RevoEnhancements/RevoEnhancements: Selected enhancements to Revolution Analytics RevoScaleR

Description

Function to discretize continous variables using a tree.

Usage

rxTreeDiscretize(formula, data, criteria = c("gini", "information"),
  subscript = "disc", sep = "_", integerLabels = FALSE,
  finalTransform = TRUE)

Arguments

formula	Formula
data	xdf file
criteria	???
subscript	???
sep	???
integerLabels	???
finalTransform	???

See Also

Other Data mining functions: rxDiscretize; rxMoments; rxSample2Df; rxUnique

Examples

library(RevoScaleR)
claimsXdf <- file.path(rxGetOption("sampleDataDir"),"claims.xdf")
claimsXdf <- RxXdfData(claimsXdf)
discTransforms <- rxTreeDiscretize(type ~ cost + number, data = claimsXdf)
discTransforms2 <- rxTreeDiscretize(type ~ cost + number, data = claimsXdf, criteria = "information")
newData <- rxDataStep(inData = claimsXdf, transforms = discTransforms)

RevoEnhancements/RevoEnhancements documentation built on May 9, 2019, 9:46 a.m.