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 for optimizing 
  arbitrary loss functions utilizing componentwise 
  least squares, either linear models or smoothing splines, and 
  regression trees as base learners.

Torsten Hothorn

mboost

Gradient Boosting for Fitting Generalized Linear, Additive 
  and Interaction Models

boost_family-class function

Objects can be created by calls of the form <code><a href="/link/Family?package=mboost&version=0.4-6" 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