def P(self):
"""
Compute the probability of each edge.
"""
P = logistic(self.Mu)
# Clip P so that it is never exactly 1 or 0
P = np.clip(P, 1e-16, 1-1e-16)
return P
def mf_expected_log_notp(self):
"""
Compute the expected log probability of a connection under Z
:return:
"""
Ps = logistic(self.mf_sample_mus())
Ps = np.clip(Ps, 1e-16, 1-1e-16)
return np.log(1-Ps).mean(0)
