General boosting framework for any regression estimator
Project description
genestboost is an ML boosting library that separates the modeling algorithm from
the boosting algorithm. The result is that you can boost any generic regression
model, not just trees. Build a forward-thinking (forward-propagating) neural network if
you wish, or build an ensemble of support vector machines if you would so desire. Mix
and match link and loss functions at will.
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