build.UBayconstraint

Builds a constraint using a left side `A`, a right side `b`, a relaxation parameter `rho`, and a block matrix `block_matrix`.

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

build.UBayconstraint function

<dl><dt>A</dt>
<dd>matrix containing the left side of the linear inequality system</dd>
<dt>b</dt>
<dd>vector containing the right side of the linear inequality system</dd>
<dt>rho</dt>
<dd>vector containing the relaxation parameters for each constraint</dd>
<dt>block_matrix</dt>
<dd>a matrix indicating the membership of features in feature blocks</dd></dl>

Arguments

Build a customized constraint for UBayFS — build.UBayconstraint

<dl>

<dt>A</dt>
<dd>matrix containing the left side of the linear inequality system</dd>


<dt>b</dt>
<dd>vector containing the right side of the linear inequality system</dd>


<dt>rho</dt>
<dd>vector containing the relaxation parameters for each constraint</dd>


<dt>block_matrix</dt>
<dd>a matrix indicating the membership of features in feature blocks</dd>

</dl>

build.UBayconstraint: Build a customized constraint for UBayFS

Description

Usage

Value

Arguments