a94dbd2936fdc64e921333c04e0d66d491efc706,src/spn/algorithms/stats/Moments.py,,Moment,#,29

Before Change

    assert len(feature_scope.intersection(evidence_scope)) == 0

    marg_spn = marginalize(spn, keep=feature_scope | evidence_scope)

    node_moments = _node_moment
    node_moments.update({Sum: sum_moment,
                              Product: prod_moment})

After Change

    for node in node_moment.keys():
        try:
            moment = node_moment[node]
            node_ll = node_likelihoods[node]
        except KeyError:
            raise AssertionError("Node type {} doe not have associated moment and likelihoods".format(node))
        node_moments[key] = leaf_moment(moment, node_ll)

    if evidence is None:
        // fake_evidence needs to be computed

Instances