trueFitnessVal

trueFitnessVal,GenAlgPLSEvaluator,numeric-method

trueFitnessVal,GenAlgUserEvaluator,numeric-method

trueFitnessVal,GenAlgLMEvaluator,numeric-method

trueFitnessVal,GenAlgFitEvaluator,numeric-method

Transform the given fitness values according tho the GenAlgEvaluator class

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

trueFitnessVal function

<dl><dt>object</dt>
<dd>The used evaluator, an object with type or with a subtype of <code>GenAlgEvaluator</code></dd>
<dt>fitness</dt>
<dd>A numeric vector of fitnesses</dd></dl>

Arguments

Get the transformed fitness values — trueFitnessVal

<dl>

<dt>object</dt>
<dd>The used evaluator, an object with type or with a subtype of <code>GenAlgEvaluator</code></dd>


<dt>fitness</dt>
<dd>A numeric vector of fitnesses</dd>

</dl>

trueFitnessVal: Get the transformed fitness values

Description

Usage

Value

Arguments

Details