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function [engine, loglik] = enter_evidence(engine, evidence, varargin)
% ENTER_EVIDENCE Add the specified evidence to the network (loopy_dbn)
% [engine, loglik] = enter_evidence(engine, evidence, ....)
%
% evidence{i,t} = [] if if X(i,t) is hidden, and otherwise contains its observed value (scalar or column vector)
%
% The following optional arguments can be specified in the form of name/value pairs:
% [default value in brackets]
%
% maximize - if 1, does max-product (not yet supported), else sum-product [0]
%
% e.g., engine = enter_evidence(engine, ev, 'maximize', 1)
maximize = 0;
filter = 0;
% parse optional params
args = varargin;
nargs = length(args);
if nargs > 0
for i=1:2:nargs
switch args{i},
case 'maximize', maximize = args{i+1};
case 'filter', filter = args{i+1};
otherwise,
error(['invalid argument name ' args{i}]);
end
end
end
assert(~maximize);
assert(~filter);
[engine.marginal, engine.msg, loglik] = enter_soft_ev(engine, evidence);
engine.evidence = evidence; % needed by marginal_nodes and marginal_family
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