📄 convert_to_pot.m
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function pot = convert_to_pot(CPD, pot_type, domain, evidence)% CONVERT_TO_POT Convert a Gaussian CPD to one or more potentials% pot = convert_to_pot(CPD, pot_type, domain, evidence)sz = CPD.sizes;ns = zeros(1, max(domain));ns(domain) = sz;odom = domain(~isemptycell(evidence(domain)));ps = domain(1:end-1);cps = ps(CPD.cps);dps = ps(CPD.dps);self = domain(end);cdom = [cps(:)' self];ddom = dps;cnodes = cdom; switch pot_type case 'u', error('gaussian utility potentials not yet supported'); case 'd', T = convert_to_table(CPD, domain, evidence); ns(odom) = 1; pot = dpot(domain, ns(domain), T); case {'c','g'}, [m, C, W] = gaussian_CPD_params_given_dps(CPD, domain, evidence); pot = linear_gaussian_to_cpot(m, C, W, domain, ns, cnodes, evidence); case 'cg', [m, C, W] = gaussian_CPD_params_given_dps(CPD, domain, evidence); % Convert each conditional Gaussian to a canonical potential cobs = myintersect(cdom, odom); dobs = myintersect(ddom, odom); ens = ns; % effective node size ens(cobs) = 0; ens(dobs) = 1; dpsize = prod(ens(dps)); can = cell(1, dpsize); for i=1:dpsize if isempty(W) can{i} = linear_gaussian_to_cpot(m(:,i), C(:,:,i), [], cdom, ns, cnodes, evidence); else can{i} = linear_gaussian_to_cpot(m(:,i), C(:,:,i), W(:,:,i), cdom, ns, cnodes, evidence); end end pot = cgpot(ddom, cdom, ens, can); case 'scg', [m, C, W] = gaussian_CPD_params_given_dps(CPD, domain, evidence); cobs = myintersect(cdom, odom); dobs = myintersect(ddom, odom); ens = ns; % effective node size ens(cobs) = 0; ens(dobs) = 1; dpsize = prod(ens(dps)); cpsize = size(W, 2); % cts parents size ss = size(m, 1); % self size cheaddom = self; ctaildom = cps(:)'; pot_array = cell(1, dpsize); for i=1:dpsize pot_array{i} = scgcpot(ss, cpsize, 1, m(:,i), W(:,:,i), C(:,:,i)); end pot = scgpot(ddom, cheaddom, ctaildom, ens, pot_array); otherwise, error(['unrecognized pot_type' pot_type])end
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