purge: 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

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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)

Examples

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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)

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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