Purge training data from a model
Description
Most R model implementations store the training data within the fitted object, often many times. It can be useful to remove the embedded data for portability, especially if the only required functionality is to predict on new data.
Usage
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28  purge(model)
## Default S3 method:
purge(model)
## S3 method for class 'glm'
purge(model)
## S3 method for class 'lm'
purge(model)
## S3 method for class 'merMod'
purge(model)
## S3 method for class 'glmerMod'
purge(model)
## S3 method for class 'rpart'
purge(model)
## S3 method for class 'randomForest'
purge(model)
## S3 method for class 'ranger'
purge(model)
## S3 method for class 'coxph'
purge(model)

Arguments
model 
A fitted R model object 
Value
A fitted R model object, purged of its training data, but retaining its predict functionality on new data
Methods (by class)

default
: Default purge returns a copy of the model 
glm
: Purges a glm model 
lm
: Purges an lm model 
merMod
: Purges a merMod, linear mixedeffects model 
glmerMod
: Purges a glmerMod, generalized linear mixedeffects model 
rpart
: Purges an rpart model 
randomForest
: Purges a random forest model 
ranger
: Purges a ranger model for classification, regression, or survival 
coxph
: Purges a coxph model
Examples
1 2 3 4 5 6  x < rnorm(1000)
y < x + rnorm(1000)
unpurged.model < lm(y ~ x)
purged.model < purge(unpurged.model)
object.size(unpurged.model)
object.size(purged.model)

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