formatSegmentation

formatSegmentation,GenAlgPLSEvaluator,list-method

formatSegmentation,GenAlgUserEvaluator,list-method

formatSegmentation,GenAlgLMEvaluator,list-method

formatSegmentation,GenAlgFitEvaluator,list-method

Format the raw segmentation list returned from the C++ code into a usable list

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

formatSegmentation function

<dl><dt>object</dt>
<dd>The Evaluator object.</dd>
<dt>segments</dt>
<dd>The raw segmentation list.</dd></dl>

Arguments

Format the raw segmentation list returned from the C++ code into a usable list — formatSegmentation

<dl>

<dt>object</dt>
<dd>The Evaluator object.</dd>


<dt>segments</dt>
<dd>The raw segmentation list.</dd>

</dl>

formatSegmentation: Format the raw segmentation list returned from the C++ code into a usable list

Description

Usage

Value

Arguments