tf.contrib.distributions.DirichletMultinomial.get_event_shape() Shape of a single sample from a single batch as a TensorShape

tf.contrib.distributions.TransformedDistribution.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape)

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

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

tf.contrib.distributions.TransformedDistribution.log_cdf(value, name='log_cdf') Log cumulative distribution function.

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

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

class tf.contrib.distributions.Exponential The Exponential distribution with rate parameter lam. The

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.log_prob(value, name='log_prob') Log probability density/mass function

tf.contrib.distributions.NormalWithSoftplusSigma.mean(name='mean') Mean.