tf.contrib.distributions.Exponential.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters given

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

tf.contrib.distributions.MultivariateNormalCholesky.cdf(value, name='cdf') Cumulative distribution function.

tf.contrib.distributions.BetaWithSoftplusAB.survival_function(value, name='survival_function') Survival function.

tf.contrib.distributions.WishartCholesky.sample(sample_shape=(), seed=None, name='sample') Generate samples of the specified shape

tf.contrib.distributions.Mixture.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a 1-D Tensor

tf.contrib.distributions.MultivariateNormalDiag.is_reparameterized

tf.contrib.distributions.Dirichlet.dtype The DType of Tensors handled by this Distribution

tf.contrib.distributions.Gamma.log_prob(value, name='log_prob') Log probability density/mass function (depending on is_continuous)

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