An implementation of the reweighter described in the arcx4 algorithm.
1  arcx4Reweighter(prediction, response, weights, m, ...)

prediction 
a vector of predictions. 
response 
a vector whose ith component is the true
response for the ith component of 
weights 
a vector of weights. They don't necessarily need to sum to 1. 
... 
implemented to allow reweighter to accept its output as its input. 
m 
a vector length equal to 
For internal bookkeeping, this function is inherits from the
'reweighter
' class. It returns a named list with components
weights 
the updated weights calculated from the input weights,

m 
the updated count of misclassifications. 
If you're going to use this reweighter with boost
you'll want
to initialize m
to 0 by including .reweighterArgs=list(m=0)
inside
your metadata
list.
Other reweighters: adaboostReweighter
;
arcfsReweighter
; boost
,
boost.function
, boost.list
;
vanillaBagger
Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
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