setOptim

Set the optimization parameters in a UBaymodel object.

The framework proposed in Jenul et al., (2022) <doi:10.1007/s10994-022-06221-9>, together with an interactive Shiny dashboard. 'UBayFS' is an ensemble feature selection technique embedded in a Bayesian statistical framework. The method combines data and user knowledge, where the first is extracted via data-driven ensemble feature selection. The user can control the feature selection by assigning prior weights to features and penalizing specific feature combinations. 'UBayFS' can be used for common feature selection as well as block feature selection.

Anna Jenul

UBayFS

A User-Guided Bayesian Framework for Ensemble Feature Selection

Stefan Schrunner

Kristian Hovde Liland

Oliver Tomic

Jürgen Pilz

setOptim function

<dl><dt>model</dt>
<dd>a UBaymodel object created using build.UBaymodel</dd>
<dt>method</dt>
<dd>the method to evaluate the posterior distribution; currently only'GA' (genetic algorithm) is supported</dd>
<dt>popsize</dt>
<dd>size of the initial population of the genetic algorithm for model optimization</dd>
<dt>maxiter</dt>
<dd>maximum number of iterations of the genetic algorithm for model optimization</dd></dl>

Arguments

Set optimization parameters in a UBaymodel object — setOptim

<dl>

<dt>model</dt>
<dd>a UBaymodel object created using build.UBaymodel</dd>


<dt>method</dt>
<dd>the method to evaluate the posterior distribution; currently only'GA' (genetic algorithm) is supported</dd>


<dt>popsize</dt>
<dd>size of the initial population of the genetic algorithm for model optimization</dd>


<dt>maxiter</dt>
<dd>maximum number of iterations of the genetic algorithm for model optimization</dd>

</dl>

setOptim: Set optimization parameters in a UBaymodel object

Description

Usage

Value

Arguments

See Also