This is a generic function. This function predicts the
class of the test data and returns a vector of predicted
values.
Usage
## S3 method for class 'AODE'
predict(object, test, ...)
Arguments
object
object of class AODE
test
test data frame. If the training data was
discretized, then the same cut points shall be used to
discretize the test data. So obviously if the training
was not discretized, test data should also not be
discretized.
...
extra arguments which might be needed in
future
Details
Written in line with the E1071 package.
Value
class vector containing the predicted class distribution
of the test data
Author(s)
sai teja ranuva
Examples
data<-iris
ode<-aode(data)
predict(ode,iris)
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(AnDE)
Loading required package: discretization
Loading required package: functional
Loading required package: foreign
Loading required package: stringr
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/AnDE/predict.AODE.Rd_%03d_medium.png", width=480, height=480)
> ### Name: predict.AODE
> ### Title: predict
> ### Aliases: predict.AODE
>
> ### ** Examples
>
> data<-iris
> ode<-aode(data)
> predict(ode,iris)
[1] 1 3 3 3 1 1 1 1 1 3 1 1 3 3 1 1 1 1 1 1 1 1 1 3 1 3 1 1 1 3 3 1 1 1 3 3 1
[38] 1 3 1 1 1 3 1 1 3 1 3 1 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[75] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[112] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[149] 1 1
>
>
>
>
>
> dev.off()
null device
1
>