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

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

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

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.log_survival_function(value, name='log_survival_function') Log survival

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

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.sample_n(n, seed=None, name='sample_n') Generate n samples

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

class tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev MultivariateNormalDiag with diag_stddev = softpl

class tf.contrib.distributions.NormalWithSoftplusSigma Normal with softplus applied to sigma.

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