edit_dist_mb: A function to calculate the edit distance from the learned...

In kelvinyangli/mbmml: Learn Markov blankets using Minimum Message Length

Description

This is a function to calculate the edit distance from the learned Markov blanket to the true Markov blanket. Edit distance is defined as the number of operations required to get from one to the other. If both true and learned are empty, the edit distance is 0; if only one of them is empty, the edit distance is the size of the other; if none of them is empty, the edit distance is the false positives plus the false negatives.

Usage

edit_dist_mb(mbTrue, mbLearned, vars, target)

Arguments

mbTrue	The true Markov blanket
mbLearned	The learned Markov blanket
vars	A vector of all variables.
target	The target node.

kelvinyangli/mbmml documentation built on June 29, 2020, 3:12 a.m.