c90f5e3b772de1fea494b6f4d130581ca2184e99,src/spn/algorithms/stats/Expectations.py,,Expectation,#Any#Any#Any#Any#Any#Any#,32

Before Change

        return likelihood(node, evidence)

    node_expectations = {type(leaf): leaf_expectation for leaf in get_nodes_by_type(marg_spn, Leaf)}
    node_expectations.update({Sum: lambda x, c, input, dtype: sum_expectation(x, c, input, moment=moment, dtype=dtype),
                              Product: lambda x, c, input, dtype: prod_expectation(x, c, input, moment=moment, dtype=dtype)})

After Change

    // if we have evidence, we want to compute the conditional expectation
    else:
        raise NotImplementedError("Please use a conditional SPN to calculated conditional expectations")

    return expectation

Instances