validData

validData,GenAlgPLSEvaluator,GenAlg-method

validData,GenAlgFitEvaluator,GenAlg-method

validData,GenAlgLMEvaluator,GenAlg-method

validData,GenAlgEvaluator,GenAlg-method

This method checks if the covariates matrix is valid for the 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

validData function

<dl><dt>object</dt>
<dd>The evaluator</dd>
<dt>genAlg</dt>
<dd>The GenAlg object the evaluator is used in</dd></dl>

Arguments

Check if the data is valid for the evaluator — validData

<dl>

<dt>object</dt>
<dd>The evaluator</dd>


<dt>genAlg</dt>
<dd>The GenAlg object the evaluator is used in</dd>

</dl>

validData: Check if the data is valid for the evaluator

Description

Usage

Arguments