print.svmmajcrossval

summary.svmmajcrossval

the cross-validation output from <code><a rd-options="" href="/link/svmmajcrossval?package=SVMMaj&version=0.2.9" data-mini-rdoc="SVMMaj::svmmajcrossval">svmmajcrossval</a></code>

the output object from <code>svmmajcrossval</code>

object

Prints the result from the cross validation procedure in 
<code><a rd-options="" href="/link/svmmajcrossval?package=SVMMaj&version=0.2.9" data-mini-rdoc="SVMMaj::svmmajcrossval">svmmajcrossval</a></code>.

Implements the SVM-Maj algorithm to train data with support vector machine
as described in Groenen et al. (2008) <doi:10.1007/s11634-008-0020-9>.
This algorithm uses two efficient updates, one for linear kernel and one
for the nonlinear kernel.

Hok San Yip

SVMMaj

Implementation of the SVM-Maj Algorithm

print.svmmajcrossval function

the cross-validation output from <code><a rd-options='' href='svmmajcrossval'>svmmajcrossval</a></code>

Prints the result from the cross validation procedure in 
<code><a rd-options='' href='svmmajcrossval'>svmmajcrossval</a></code>.

print.svmmajcrossval: Print SVMMaj cross validation results

Description

Usage

Arguments