nsel

an object of <code><a rd-options="" href="/link/mhingebst?package=bst&version=0.3-14" data-mini-rdoc="bst::mhingebst">mhingebst</a></code>, <code><a rd-options="" href="/link/mbst?package=bst&version=0.3-14" data-mini-rdoc="bst::mbst">mbst</a></code>, or <code><a rd-options="" href="/link/rmbst?package=bst&version=0.3-14" data-mini-rdoc="bst::rmbst">rmbst</a></code>

object

mstop

Find Number of Variables In Multi-class Boosting Iterations

Functional gradient descent algorithm for a variety of convex and non-convex loss functions, for both classical and robust regression and classification problems.

Zhu Wang

Gradient Boosting

Torsten Hothorn

nsel function

an object of <code><a rd-options='' href='mhingebst'>mhingebst</a></code>, <code><a rd-options='' href='mbst'>mbst</a></code>, or <code><a rd-options='' href='rmbst'>rmbst</a></code>

nsel: Find Number of Variables In Multi-class Boosting Iterations

Description

Usage

Arguments

Value