Description
Functional gradient descent algorithms
(boosting) for optimizing general loss functions utilizing
componentwise least squares, either of parametric linear form or
smoothing splines, or regression trees as base learners for fitting
generalized linear, additive and interaction models to potentially
high-dimensional data.