| sampleInitial {UBayFS} | R Documentation |
Initial feature set sampling using probabilistic Greedy algorithm
Description
Sample initial solutions using a probabilistic version of Greedy algorithm.
Usage
sampleInitial(post_scores, constraints, size)
Arguments
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. |
Value
a matrix containing initial feature sets as rows
[Package UBayFS version 1.0 Index]