Strip memory size of learners:

[kkholst]

Individual learners such as glm requires lot of memory. We may consider to add an option to strip the objects for unnecessary components

`
stripGlmLR = function(cm) {
cm$y = c()
cm$model = c()
cm$residuals = c()
cm$fitted.values = c()
cm$effects = c()
cm$qr$qr = c()
cm$linear.predictors = c()
cm$weights = c()
cm$prior.weights = c()
cm$data = c()

cm$family$variance = c()
cm$family$dev.resids = c()
cm$family$aic = c()
cm$family$validmu = c()
cm$family$simulate = c()
attr(cm$terms,".Environment") = c()
attr(cm$formula,".Environment") = c()
cm
}
getModelSize = function(n) {
data = synthFrame(n)
model = stripGlmLR(glm(y~xN+xC,data=data,
family=binomial(link='logit'),
y=FALSE, model=FALSE))
length(serialize(model, NULL))
}
size3 = sapply(ndata, FUN=getModelSize)
ggplot(data.frame(n=ndata, modelsize=size3), aes(x=n, y=modelsize)) +
geom_point() + geom_line()
`