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root / _FullBNT / BNT / CPDs / @gaussian_CPD / gaussian_CPD_params_given_dps.m @ 8:b5b38998ef3b
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function [m, C, W] = gaussian_CPD_params_given_dps(CPD, domain, evidence) |
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% GAUSSIAN_CPD_PARAMS_GIVEN_EV_ON_DPS Extract parameters given evidence on all discrete parents |
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% function [m, C, W] = gaussian_CPD_params_given_ev_on_dps(CPD, domain, evidence) |
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ps = domain(1:end-1); |
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dps = ps(CPD.dps); |
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if isempty(dps) |
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m = CPD.mean; |
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C = CPD.cov; |
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W = CPD.weights; |
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else |
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odom = domain(~isemptycell(evidence(domain))); |
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dops = myintersect(dps, odom); |
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dpvals = cat(1, evidence{dops});
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if length(dops) == length(dps) |
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dpsizes = CPD.sizes(CPD.dps); |
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dpval = subv2ind(dpsizes, dpvals(:)'); |
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m = CPD.mean(:, dpval); |
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C = CPD.cov(:, :, dpval); |
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W = CPD.weights(:, :, dpval); |
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else |
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map = find_equiv_posns(dops, dps); |
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index = mk_multi_index(length(dps), map, dpvals); |
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m = CPD.mean(:, index{:});
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C = CPD.cov(:, :, index{:});
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W = CPD.weights(:, :, index{:});
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end |
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end |