sample_drift = function(tr, te, n, replace=T, ...){
# this returns a sample of the training data.frame
# according to its weights
s = function() tr[w > runif(length(w)), ]
w = weights(tr, te, ...)
# initialize sampled training set
tr_sampled = s()
# repeat sampling if necessary and asked for
if(replace){
while(nrow(tr_sampled) <= n){
tr_sampled = rbind(tr_sampled, s())
}
}
# if fewer rows than asked for
# return the total number of rows
n_limit = if(nrow(tr_sampled) < n){
warning("Returning fewer rows than requested. Try replace=T")
nrow(tr_sampled)
} else n
return(tr_sampled[1:n_limit, ])
}
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