boost_family-class

show,boost_family-method

Objects of class <code>boost_family</code> define negative gradients of
             loss functions to be optimized.

classes

Functional gradient descent algorithm
  (boosting) for optimizing general risk functions utilizing
  component-wise (penalised) least squares estimates 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=2.1-0" 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

See Also

Examples