916cda3dad76d51ed63803abe26a16a0cd677f56,dit/algorithms/total_correlation.py,,total_correlation,#,8

Before Change

    marginals = [ d.marginal([i]) for i in range(d.outcome_length()) ]

    T = sum( H(m) for m in marginals ) - H(d)

    return T

After Change

        msg = "The total correlation is applicable to joint distributions."
        raise ditException(msg)

    one = sum([ H(dist, [i], crvs, rv_names) for i in rvs ])
    two = H(dist, rvs, crvs, rv_names)
    T = one - two

    return T

Instances