From 8070dc963753142bb86c4ed698d91fd623ed28e7 Mon Sep 17 00:00:00 2001
From: ziejd2
Date: Thu, 28 Sep 2017 15:04:40 -0500
Subject: BNW using Octave instead of Matlab.

This version of BNW should perform the same as the original version. The only difference is that it uses Octave instead of Matlab when running BayesNet Toolbox during parameter learning.

I am calling this BNW_1.02. It can be accessed at:
compbio.uthsc.edu/BNW_1.02
---
 .../BNT/inference/@inf_engine/Old/marginal_family_pot.m    | 14 ++++++++++++++
 1 file changed, 14 insertions(+)
 create mode 100644 sourcecodes/bnt-master/BNT/inference/@inf_engine/Old/marginal_family_pot.m

(limited to 'sourcecodes/bnt-master/BNT/inference/@inf_engine/Old/marginal_family_pot.m')

diff --git a/sourcecodes/bnt-master/BNT/inference/@inf_engine/Old/marginal_family_pot.m b/sourcecodes/bnt-master/BNT/inference/@inf_engine/Old/marginal_family_pot.m
new file mode 100644
index 00000000..c1e63710
--- /dev/null
+++ b/sourcecodes/bnt-master/BNT/inference/@inf_engine/Old/marginal_family_pot.m
@@ -0,0 +1,14 @@
+function pot = marginal_family_pot(engine, i)
+% MARGINAL_FAMILY_POT Compute the marginal on i's family and return as a potentila (inf_engine)
+% function pot = marginal_family_pot(engine,i)
+
+% This function is only called by solve_limid.
+% It requires that engine's marginal_family function return a potential.
+% This is true for jtree_inf_engine, but not for, say, jtree_ndx_inf_engine.
+% All limids must be solved using potentials,
+% but this is not true for bnets.
+
+%[m, pot] = marginal_family(engine, i);
+
+bnet = bnet_from_engine(engine);
+[m, pot] = marginal_nodes(engine, family(bnet.dag, i));
-- 
cgit 1.4.1