admissibility: Admissibility for constraint group

In annajenul/UBayFS: A User-Guided Bayesian Framework for Ensemble Feature Selection (UBayFS)

Admissibility for constraint group

Description

Evaluate the value of the admissibility function 'kappa'.

Usage

group_admissibility(state, constraints, log = TRUE)

admissibility(state, constraint_list, log = TRUE)

Arguments

state	a binary membership vector describing a feature set
constraints	group of constraints with common block matrix
log	whether the admissibility should be returned on log scale
constraint_list	a list of constraint groups, each containing a matrix 'A' and a vector 'b' representing the inequality system 'Ax<=b', a vector 'rho', and a matrix 'block_matrix'

Value

an admissibility value

Functions

• group_admissibility(): computes admissibility for a group of constraints (with a common block).

annajenul/UBayFS documentation built on July 20, 2023, 3:57 p.m.