tf.contrib.distributions.MultivariateNormalDiag.__init__(mu, diag_stdev, validate_args=False, allow_nan_stats=True, name='MultivariateNormalDiag')

tf.contrib.distributions.BetaWithSoftplusAB.log_pmf(value, name='log_pmf') Log probability mass function.

tf.contrib.distributions.Binomial.__init__(n, logits=None, p=None, validate_args=False, allow_nan_stats=True, name='Binomial') Initialize

tf.contrib.distributions.MultivariateNormalDiag.batch_shape(name='batch_shape') Shape of a single sample from a single event index

tf.contrib.distributions.Chi2.mode(name='mode') Mode. Additional documentation from Gamma:

tf.contrib.distributions.Exponential.prob(value, name='prob') Probability density/mass function (depending on is_continuous)

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.parameters Dictionary of parameters used by this Distribution

class tf.contrib.distributions.Normal The scalar Normal distribution with mean and stddev parameters mu, sigma.

tf.contrib.distributions.Exponential.pdf(value, name='pdf') Probability density function. Args:

tf.contrib.distributions.NormalWithSoftplusSigma.pmf(value, name='pmf') Probability mass function. Args: