predict.ELMBJ: ELMBJ

In ELMSurv: Extreme Learning Machine for Survival Analysis

Description

Predicting from A Kernel Extreme Learning Machine Using the Buckley-James estimator

Usage

## S3 method for class 'ELMBJ'
predict(object, testx, ...)

Arguments

object	An object that inherits from class ELMBJEN.
testx	A data frame in which to look for variables with which to predict.
...	Additional arguments.

Value

List of returned values

trainMSE	Mean Square Error(MSE) on training data.
newy	Esitmated survival times of training data by the Buckley-James estimator.
outputWeight	Weights of the output layer in ELM.
testpre	The estimated survival times for testx data.

Author(s)

Hong Wang

References

• Hong Wang et al (2017). A Survival Ensemble of Extreme Learning Machine. Applied Intelligence, DOI:10.1007/s10489-017-1063-4.

See Also

ELMBJEN

Examples

set.seed(123)
require(ELMSurv)
require(survival)
#Lung DATA
data(lung)
lung=na.omit(lung)
lung[,3]=lung[,3]-1
n=dim(lung)[1]
L=sample(1:n,ceiling(n*0.5))
trset<-lung[L,]
teset<-lung[-L,]
rii=c(2,3)
#A kernel ELM base model
kerelmsurv=ELMBJ(trset[,-rii],Surv(trset[,rii[1]],trset[,rii[2]]))
testpre=predict(kerelmsurv,teset[,-c(rii)])

ELMSurv documentation built on May 27, 2019, 9:04 a.m.