boost_family-class

show,boost_family-method

Objects of class "boost_family" define negative gradients of 
             loss functions to be optimized.

classes

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.

Torsten Hothorn

mboost

Model-Based Boosting

boost_family-class function

Objects can be created by calls of the form <code><a href="/link/Family?package=mboost&version=0.5-7" rd-options="" data-mini-rdoc="mboost::Family">Family</a>(...)</code>

boost_family-class: Class "boost_family": Gradient Boosting Family

Description

Arguments

Objects from the Class

Examples