sampleInitial: Initial feature set sampling using probabilistic Greedy...
In UBayFS: A User-Guided Bayesian Framework for Ensemble Feature Selection

sampleInitial

R Documentation

Initial feature set sampling using probabilistic Greedy algorithm

Sample initial solutions using a probabilistic version of Greedy algorithm.

sampleInitial(post_scores, constraints, size)

`post_scores`	a vector of posterior scores (prior scores + likelihood) for each feature
`constraints`	a list containing feature-wise constraints
`size`	initial number of samples to be created. The output sample size can be lower, since duplicates are removed.