What steps will reproduce the problem?
1. This is main code : main.m
addpath(genpath('bnt/'));
numberClass = 40;
numberPattern = 10;
load xechancFace xechancFace;
[classNode, ~] = size(xechancFace.dataTest);
load dagTanFace dagTanFace;
node_sizes = max(xechancFace.dataTrain,[],2);%node_sizes(i) is the size of node
i
[n, ~] = size(xechancFace.dataTrain);
dataTrain = num2cell(xechancFace.dataTrain);
dataTest = num2cell(xechancFace.dataTest);
dataTest(classNode,:) = {[]}; % remove classNode
init_bnet = mk_bnet(dagTanFace,node_sizes);
for i=1:n
init_bnet.CPD{i} = tabular_CPD(init_bnet,i);
end
% training
bnet = learn_params(init_bnet,dataTrain);
% testing
sizeTest = size(dataTest,2);
prob = zeros(sizeTest,node_sizes(classNode));
%Computes the probabilities given to the solutions in Data
engine = jtree_inf_engine(bnet);
for i=1:sizeTest
[engine,loglik] = enter_evidence(engine, dataTest(:,i));
marg = marginal_nodes(engine, classNode);
prob(i,:) = marg.T;
end
2. rate train/test is 7/3
I got this error
Index exceeds matrix dimensions.
Error in discrete_CPD/convert_to_table (line 13)
T = CPT(index{:});
Error in discrete_CPD/convert_to_pot (line 20)
T = convert_to_table(CPD, domain, evidence);
Error in jtree_inf_engine/enter_evidence (line
57)
pot{n} = convert_to_pot(bnet.CPD{e},
pot_type, fam(:), evidence);
Error in C43bNTrainingTabular (line 38)
[engine,loglik] = enter_evidence(engine,
dataTest(:,i));
What is the expected output? What do you see instead?
why i got this error ? and why loglik always 0
What version of the product are you using? On what operating system?
matlab version 2013a , window 8.1
Please provide any additional information below.
Original issue reported on code.google.com by hoangvan...@gmail.com on 4 Aug 2015 at 2:14
Original issue reported on code.google.com by
hoangvan...@gmail.com
on 4 Aug 2015 at 2:14