tf.contrib.distributions.Bernoulli.variance(name='variance') Variance.

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

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

tf.contrib.distributions.Dirichlet.__init__(alpha, validate_args=False, allow_nan_stats=True, name='Dirichlet') Initialize a batch

tf.contrib.distributions.InverseGamma.log_pdf(value, name='log_pdf') Log probability density function.

tf.contrib.distributions.Binomial.std(name='std') Standard deviation.

tf.contrib.distributions.WishartCholesky.log_pdf(value, name='log_pdf') Log probability density function.

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

tf.contrib.distributions.Exponential.event_shape(name='event_shape') Shape of a single sample from a single batch as a 1-D int32

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