getEvalFun

getEvalFun,GenAlgUserEvaluator,GenAlg-method

getEvalFun,GenAlgUserEvaluator,matrix-method

getEvalFun,GenAlgEvaluator,GenAlg-method

getEvalFun,GenAlgEvaluator,matrix-method

This method returns the correct evaluation function from a GenAlgUserEvaluator
that can be used by the C++-code as callback or NULL for any other evaluator

Provides a genetic algorithm for finding variable
subsets in high dimensional data with high prediction performance. The
genetic algorithm can use ordinary least squares (OLS) regression models or
partial least squares (PLS) regression models to evaluate the prediction
power of variable subsets. By supporting different cross-validation
schemes, the user can fine-tune the tradeoff between speed and quality of
the solution.

David Kepplinger

gaselect

Genetic Algorithm (GA) for Variable Selection from
High-Dimensional Data

getEvalFun function

<dl><dt>object</dt>
<dd>The evaluator (an object of type <code>GenAlgEvaluator</code>)</dd>
<dt>genAlg</dt>
<dd>The <code>GenAlg</code> object</dd></dl>

Arguments

Get the evaluation function from a GenAlgUserEvaluator — getEvalFun

<dl>

<dt>object</dt>
<dd>The evaluator (an object of type <code>GenAlgEvaluator</code>)</dd>


<dt>genAlg</dt>
<dd>The <code>GenAlg</code> object</dd>

</dl>

getEvalFun: Get the evaluation function from a GenAlgUserEvaluator

Description

Usage

Arguments