x : ndarray, shape (width, height, n_features)
Unary evidence / input.
y : ndarray or tuple
Either y is an integral ndarray of shape (width, height), giving a complete labeling for x. Or it is the result of a linear programming relaxation. In this case,
y=(unary_marginals, pariwise_marginals), where unary_marginals is an array of shape (width, height, n_states) and pairwise_marginals is an array of shape (n_states, n_states) of accumulated pairwise marginals.
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