R help - Apr 2008 - Calling a stored model within the predict() function

Hi all,

First of all, I'm a novice R user (less that a week), so perhaps my code
isn't very efficient.

Using the MBoost package I created a model using the following command and
saved it to a file for later use:

model <- gamboost(fpfm,data=SampleClusterData,baselearner="bbs") #
Creating
a model
save(model,file="model.RData") # Saving a model


After this, during a new R session, I want to deploy this model:

setwd("Q:/Program Files/R/library/mboost/data") 
NewData <- read.table("NewData.txt",header=TRUE,sep=,",")
#Calling a new
data set
setwd("Q:/Program Files/R/library/mboost")
model <- load("model.rdata") # Loading the model

This won't work. When I check the content of the 'model' object, the
only
screen output I see is :

"model
[1]model"

...and that the actual file size from 'model.rdata' is exactly 4,100 kb
(is
this a limit?!)


Then I try to call this model object with the predict() function:

CRPredict <- predict(model, newdata= SampleClusterData) # Make the
predictions

This results in the following error message:

"Error in UseMethod("predict") : no applicable method for
"predict"  "

Is the a correct way to store and call a model or is it only possible to
create & deploy a model during the same R session?

Thanks!

Jim



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No replies yet... 
Is my problem explanation unclear?

Please let me know, thanks! 

Jim
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On Sat, Apr 26, 2008 at 7:14 PM, Jim_S <virtualreal at gmail.com>
wrote:
>
> Hi all,
>
> First of all, I'm a novice R user (less that a week), so perhaps my
code
> isn't very efficient.
>
> Using the MBoost package I created a model using the following command and
> saved it to a file for later use:
>
> model <-
gamboost(fpfm,data=SampleClusterData,baselearner="bbs") # Creating
> a model
> save(model,file="model.RData") # Saving a model
>
>
> After this, during a new R session, I want to deploy this model:
>
> setwd("Q:/Program Files/R/library/mboost/data")
> NewData <-
read.table("NewData.txt",header=TRUE,sep=,",") #Calling a
new
> data set
> setwd("Q:/Program Files/R/library/mboost")
> model <- load("model.rdata") # Loading the model
>
> This won't work. When I check the content of the 'model'
object, the only
> screen output I see is :
>
> "model
> [1]model"
>
> ...and that the actual file size from 'model.rdata' is exactly
4,100 kb (is
> this a limit?!)
>
>
> Then I try to call this model object with the predict() function:
>
> CRPredict <- predict(model, newdata= SampleClusterData) # Make the
> predictions
>
> This results in the following error message:
>
> "Error in UseMethod("predict") : no applicable method for
"predict"  "
>
> Is the a correct way to store and call a model or is it only possible to
> create & deploy a model during the same R session?
>
> Thanks!
>
> Jim
>
>
>
> --
> View this message in context:
http://www.nabble.com/Calling-a-stored-model-within-the-predict%28%29-function-tp16918111p16918111.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> R-help at r-project.org mailing list
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> PLEASE do read the posting guide
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>