Hello fellow R programmers,
I'm trying to use package e1071's naiveBayes function to create a model with
weighted data. See example below, variable "d" is a count variable that
provides the # of records for the given observation combination. Is anyone
aware of a "weight" argument to this method? I've been unsuccessful in my
research.
Thanks,
Mike
library(e1071)
a<-c(1,1,1,1,0,0,0,0)
b<-c("A","B","A","B","A","B","A","B")
c<-c("X","X","Y","Y","X","X","Y","Y")
d<-c(4,3,2,1,20,15,11,4)
input<-data.frame(a,b,c,d)
## NAIVE BAYES - NO WEIGHT ##
model <- naiveBayes(a ~ factor(b)+factor(c), data = input)
## NAIVE BAYES - WEIGHT by d? ##
model <-naiveBayers(a~factor(b)+factor(c),data=input,weight=d)
--
Michael Schumacher
mike.schumac...@gmail.com
Manager, Data & Analytics
ValueClick
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