Python approximate_conditional_nll Examples

Example #1

File: test_grant_2.py Project: othercriteria/StochasticBlockmodel

def f_nll(n, m):
    P = m.edge_probabilities(n)
    w = P / (1.0 - P)
    A = n.as_dense()
    return approximate_conditional_nll(A, w)

Example #2

File: test_grant_2.py Project: ZugenLiu/StochasticBlockmodel

def f_nll(n, m):
    P = m.edge_probabilities(n)
    w = P / (1.0 - P)
    A = n.as_dense()
    return approximate_conditional_nll(A, w)

Example #3

def f_nll(n, m):
    P = m.edge_probabilities(n)
    w = P / (1.0 - P)
    A = np.array(n.adjacency_matrix())
    return approximate_conditional_nll(A, w)