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General boosting framework for any regression estimator

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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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