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Boosting Algorithm for Regression (Adaboost.R2)

2 messages · Majid Javanmard, Bert Gunter

Original
Majid Javanmard
# 
Hello

I am new to R , Is there any code to run Adaboost.R2 in r ?!
I wrote a code from example of gbm package, but I can not have prediction
interval would you help me ?!


library(gbm)
mm <- read.table("E:/bagg.txt",TRUE)
xnam <- paste("x", 1:50, sep="")
fmla <- as.formula(paste("y ~ ", paste(xnam, collapse= "+")))
gbm1 <- gbm(fmla, data=mm, n.trees=100, distribution="gaussian",
interaction.depth=3, bag.fraction=0.5, train.fraction=1.0, shrinkage=0.1,
keep.data=TRUE)
pred <- predict(gbm1,n.trees=100)
pred <- as.data.frame(pred)


Thanks
Bert Gunter
# 
https://cran.r-project.org/web/views/MachineLearning.html

What do you mean by Prediction Interval? I doubt that this has clear
meaning in the boosting context. You might want to follow up this
statistical question on a statistical or machine learning list like
stats.stackexchange.com  .


Bert Gunter

"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Wed, Mar 30, 2016 at 2:13 PM, Majid Javanmard
<javanmard.majid at gmail.com> wrote: