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authorziejd22017-09-14 16:17:47 -0500
committerGitHub2017-09-14 16:17:47 -0500
commit7cc31810d53176e805532b2789955f4eedbce6bb (patch)
tree82924642070d871f753ee41c0f3e363ff8f380da /BNW_parameter_learning/getParams.m
parent6882395afdadf4e982b25b5215071a0932730950 (diff)
downloadBNW-7cc31810d53176e805532b2789955f4eedbce6bb.tar.gz
Add files via upload
Adding the *.m files used in parameter learning.
Diffstat (limited to 'BNW_parameter_learning/getParams.m')
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diff --git a/BNW_parameter_learning/getParams.m b/BNW_parameter_learning/getParams.m
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+function [ bnet ] = getParams( bnet, cases )

+%getParams Code to initialize CPT and do parameter learning.

+%This will be very basic for now.  I can add more options later.

+

+dnodes = bnet.dnodes;

+cnodes = bnet.cnodes;

+nnodes = size(dnodes,2)+size(cnodes,2);

+

+%make dnodes tabular_CPT

+for i = 1:size(dnodes,2)

+    bnet.CPD{dnodes(i)} = tabular_CPD(bnet,dnodes(i));

+end

+

+for i = 1:size(cnodes,2)

+    bnet.CPD{cnodes(i)} = gaussian_CPD(bnet,cnodes(i));

+end

+

+bnet = learn_params(bnet,cases);

+

+

+end

+