parsimony_monitor

Functions to print summary statistics of fitness values at each iteration of a GA search.

Methodology that combines feature selection, model tuning, and parsimonious model selection with Genetic Algorithms (GA) proposed in {Martinez-de-Pison} (2015) <DOI:10.1016/j.asoc.2015.06.012>. To this objective, a novel GA selection procedure is introduced based on separate cost and complexity evaluations.

F.J. Martinez-de-Pison

GAparsimony

Searching Parsimony Models with Genetic Algorithms

parsimony_monitor function

<dl> <dt>object</dt>
<dd>An object of class <code>"ga_parsimony"</code>, usually resulting from a call to function <code>ga_parsimony</code>.</dd> <dt>digits</dt>
<dd>minimal number of significant digits.</dd> <dt>...</dt>
<dd>Further arguments passed to or from other methods.</dd></dl>

Arguments

Francisco Javier Martinez de Pison. <a href="/link/fjmartin%40unirioja.es?package=GAparsimony&version=0.9.5" data-mini-rdoc="GAparsimony::fjmartin@unirioja.es">fjmartin@unirioja.es</a>. EDMANS Group. <a href="https://edmans.webs.com/">https://edmans.webs.com/</a>

Author

Functions for monitoring GA-PARSIMONY algorithm evolution — parsimony_monitor

<dl>

 <dt>object</dt>
<dd>An object of class <code>"ga_parsimony"</code>, usually resulting from a call to function <code>ga_parsimony</code>.</dd>

 <dt>digits</dt>
<dd>minimal number of significant digits.</dd>

 <dt>...</dt>
<dd>Further arguments passed to or from other methods.</dd>

</dl>

Francisco Javier Martinez de Pison. <a href='mailto:fjmartin@unirioja.es'>fjmartin@unirioja.es</a>. EDMANS Group. <a href='https://edmans.webs.com/'>https://edmans.webs.com/</a>

parsimony_monitor: Functions for monitoring GA-PARSIMONY algorithm evolution

Description

Usage

Value

Arguments

Author