get_log_leaf_entries

Assuming that the cpt is a leaf, returns 1 instead of a CPT entry when value missing

internal

State-of-the art algorithms for learning discrete Bayesian network classifiers from data, including a number of those described in Bielza & Larranaga (2014) <doi:10.1145/2576868>, with functions for prediction, model evaluation and inspection.

Mihaljevic Bojan

bnclassify

Learning Discrete Bayesian Network Classifiers from Data

Bielza Concha

Larranaga Pedro

Wickham Hadley

get_log_leaf_entries function

<dl><dt>x</dt>
<dd>a vector of values</dd></dl>

Arguments

Assuming that the cpt is a leaf, returns 1 instead of a CPT entry when value missing — get_log_leaf_entries

<dl>

<dt>x</dt>
<dd>a vector of values</dd>

</dl>

get_log_leaf_entries: Assuming that the cpt is a leaf, returns 1 instead of a CPT entry when value missing

Description

Usage

Arguments